COLING2018.md

A New Approach to Animacy Detection

• 论文链接：https://aclanthology.org/C18-1001.pdf

• 代码链接：https://dspace.mit.edu/handle/1721.1/116172

Zero Pronoun Resolution with Attention-based Neural Network

• 论文链接：https://aclanthology.org/C18-1002.pdf

• 代码链接：https://github.com/qyyin/AttentionZP

They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking

• 论文链接：https://aclanthology.org/C18-1003.pdf

• 代码链接：https://github.com/emorynlp/character-identification

Triad-based Neural Network for Coreference Resolution

• 论文链接：https://aclanthology.org/C18-1004.pdf

• 代码链接：https://github.com/text-machine-lab/entity-coref

Unsupervised Morphology Learning with Statistical Paradigms

• 论文链接：https://aclanthology.org/C18-1005.pdf

• 代码链接：https://github.com/xuhongzhi/ParaMA

Neural Transition-based String Transduction for Limited-Resource Setting in Morphology

• 论文链接：https://aclanthology.org/C18-1008.pdf

• 代码链接：https://github.com/ZurichNLP/coling2018-neural-transition-based-morphology

Two Local Models for Neural Constituent Parsing

• 论文链接：https://aclanthology.org/C18-1011.pdf

• 代码链接：https://github.com/zeeeyang/two-local-neural-conparsers

Learning to Search in Long Documents Using Document Structure

• 论文链接：https://aclanthology.org/C18-1014.pdf

• 代码链接：https://github.com/mega002/DocQN

Incorporating Image Matching Into Knowledge Acquisition for Event-Oriented Relation Recognition

• 论文链接：https://aclanthology.org/C18-1015.pdf

• 代码链接：https://github.com/HuiBinR/VSRB

Representation Learning of Entities and Documents from Knowledge Base Descriptions

• 论文链接：https://aclanthology.org/C18-1016.pdf

• 代码链接：https://github.com/studio-ousia/textent/

From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical Resources

• 论文链接：https://aclanthology.org/C18-1020.pdf

• 代码链接：https://github.com/UKPLab/coling2018-wcs

Identifying Emergent Research Trends by Key Authors and Phrases

• 论文链接：https://aclanthology.org/C18-1022.pdf

• 代码链接：https://github.com/RichardeJiang/racode

Embedding WordNet Knowledge for Textual Entailment

• 论文链接：https://aclanthology.org/C18-1023.pdf

• 代码链接：https://github.com/lanyunshi/embedding-for-textual-entailment

Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases

• 论文链接：https://aclanthology.org/C18-1024.pdf

• 代码链接：https://github.com/Tsinghua-PhD/APE

Topic or Style? Exploring the Most Useful Features for Authorship Attribution

• 论文链接：https://aclanthology.org/C18-1029.pdf

• 代码链接：https://github.com/yunitata/coling2018

A Deep Dive into Word Sense Disambiguation with LSTM

• 论文链接：https://aclanthology.org/C18-1030.pdf

• 代码链接：https://github.com/cltl/wsd-dynamic-sense-vector

WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages

• 论文链接：https://aclanthology.org/C18-1032.pdf

• 代码链接：https://github.com/KingOfThePirate/Wikiref

Authorship Identification for Literary Book Recommendations

• 论文链接：https://aclanthology.org/C18-1033.pdf

• 代码链接：https://tinyurl.com/ybsdxg5a

Adversarial Feature Adaptation for Cross-lingual Relation Classification

• 论文链接：https://aclanthology.org/C18-1037.pdf

• 代码链接：https://github.com/zoubowei/feature_adaptation4RC

One-shot Learning for Question-Answering in Gaokao History Challenge

• 论文链接：https://aclanthology.org/C18-1038.pdf

• 代码链接：https://github.com/cooelf/OneshotQA

Dynamic Multi-Level Multi-Task Learning for Sentence Simplification

• 论文链接：https://aclanthology.org/C18-1039.pdf

• 代码链接：https://github.com/HanGuo97/MultitaskSimplification

Few-Shot Charge Prediction with Discriminative Legal Attributes

• 论文链接：https://aclanthology.org/C18-1041.pdf

• 代码链接：https://github.com/thunlp/attribute_charge

Transition-based Neural RST Parsing with Implicit Syntax Features

• 论文链接：https://aclanthology.org/C18-1047.pdf

• 代码链接：https://github.com/yunan4nlp/NNDisParser

Systematic Study of Long Tail Phenomena in Entity Linking

• 论文链接：https://aclanthology.org/C18-1056.pdf

• 代码链接：https://github.com/cltl/EL-long-tail-phenomena

Neural Collective Entity Linking

• 论文链接：https://aclanthology.org/C18-1057.pdf

• 代码链接：https://github.com/TaoMiner/NCEL

A Practical Incremental Learning Framework For Sparse Entity Extraction

• 论文链接：https://aclanthology.org/C18-1059.pdf

• 代码链接：https://github.com/halolimat/SpExtor

Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?

• 论文链接：https://aclanthology.org/C18-1061.pdf

• 代码链接：https://github.com/lancopku/Multi-Order-LSTM

Ant Colony System for Multi-Document Summarization

• 论文链接：https://aclanthology.org/C18-1062.pdf

• 代码链接：https://github.com/asma-b/MDS-ACO

Multi-task dialog act and sentiment recognition on Mastodon

• 论文链接：https://aclanthology.org/C18-1063.pdf

• 代码链接：https://github.com/cerisara/DialogSentimentMastodon

Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains

• 论文链接：https://aclanthology.org/C18-1070.pdf

• 代码链接：https://github.com/jbarnesspain/domain_blse

Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings

• 论文链接：https://aclanthology.org/C18-1079.pdf

• 代码链接：https://github.com/Junjieli0704/HUARN

Multi-Task Neural Models for Translating Between Styles Within and Across Languages

• 论文链接：https://aclanthology.org/C18-1086.pdf

• 代码链接：https://github.com/xingniu/multitask-ft-fsmt

Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis

• 论文链接：https://aclanthology.org/C18-1097.pdf

• 代码链接：https://github.com/apmoore1/Bella

Adversarial Multi-lingual Neural Relation Extraction

• 论文链接：https://aclanthology.org/C18-1099.pdf

• 代码链接：https://github.com/thunlp/AMNRE

Ask No More: Deciding when to guess in referential visual dialogue

• 论文链接：https://aclanthology.org/C18-1104.pdf

• 代码链接：https://vista-unitn-uva.github.io

Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding

• 论文链接：https://aclanthology.org/C18-1105.pdf

• 代码链接：https://github.com/AtmaHou/Seq2SeqDataAugmentationForLU

JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features

• 论文链接：https://aclanthology.org/C18-1108.pdf

• 代码链接：http://github.com/mengshor/JTAV

An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization

• 论文链接：https://aclanthology.org/C18-1112.pdf

• 代码链接：https://github.com/tanggongbo/normalization-NMT

Deep Neural Networks at the Service of Multilingual Parallel Sentence Extraction

• 论文链接：https://aclanthology.org/C18-1116.pdf

• 代码链接：https://github.com/ExperimentalTransbank/WikiPara

Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization

• 论文链接：https://aclanthology.org/C18-1121.pdf

• 代码链接：https://github.com/pcyin/pytorch_nmt

Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation

• 论文链接：https://aclanthology.org/C18-1122.pdf

• 代码链接：https://github.com/FrancisGregoire/parSentExtract

Assessing Quality Estimation Models for Sentence-Level Prediction

• 论文链接：https://aclanthology.org/C18-1129.pdf

• 代码链接：https://github.com/hoangcuong2011/QESentlevel

Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection

• 论文链接：https://aclanthology.org/C18-1132.pdf

• 代码链接：https://github.com/UKPLab/coling2018-nonliteral-mtl

Contextual String Embeddings for Sequence Labeling

• 论文链接：https://aclanthology.org/C18-1139.pdf

• 代码链接：https://github.com/zalandoresearch/flair

Learning Word Meta-Embeddings by Autoencoding

• 论文链接：https://aclanthology.org/C18-1140.pdf

• 代码链接：https://github.com/CongBao/AutoencodedMetaEmbedding

GenSense: A Generalized Sense Retrofitting Model

• 论文链接：https://aclanthology.org/C18-1141.pdf

• 代码链接：https://github.com/y95847frank/GenSense

Variational Attention for Sequence-to-Sequence Models

• 论文链接：https://aclanthology.org/C18-1142.pdf

• 代码链接：https://github.com/HareeshBahuleyan/tf-var-attention

Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types

• 论文链接：https://aclanthology.org/C18-1144.pdf

• 代码链接：https://github.com/BYU-NLP-Lab/Experiments

Structure-Infused Copy Mechanisms for Abstractive Summarization

• 论文链接：https://aclanthology.org/C18-1146.pdf

• 代码链接：https://github.com/KaiQiangSong/struct_infused_summ

A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task

• 论文链接：https://aclanthology.org/C18-1149.pdf

• 代码链接：https://github.com/StoryDevelopment/SCT

Embedding Words as Distributions with a Bayesian Skip-gram Model

• 论文链接：https://aclanthology.org/C18-1151.pdf

• 代码链接：https://github.com/ixlan/BSG

Assessing Composition in Sentence Vector Representations

• 论文链接：https://aclanthology.org/C18-1152.pdf

• 代码链接：https://github.com/aetting/compeval-generation-system

Subword-augmented Embedding for Cloze Reading Comprehension

• 论文链接：https://aclanthology.org/C18-1153.pdf

• 代码链接：https://github.com/cooelf/subMrc

Enhancing Sentence Embedding with Generalized Pooling

• 论文链接：https://aclanthology.org/C18-1154.pdf

• 代码链接：https://github.com/lukecq1231/generalized-pooling

Recognizing Humour using Word Associations and Humour Anchor Extraction

• 论文链接：https://aclanthology.org/C18-1157.pdf

• 代码链接：https://github.com/acattle/HumourTool

Robust Lexical Features for Improved Neural Network Named-Entity Recognition

• 论文链接：https://aclanthology.org/C18-1161.pdf

• 代码链接：http://rali.iro.umontreal.ca/rali/en/wikipedia-lex-sim

A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words

• 论文链接：https://aclanthology.org/C18-1162.pdf

• 代码链接：https://github.com/ly233/Seed-Guided-Topic-Model

Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models

• 论文链接：https://aclanthology.org/C18-1169.pdf

• 代码链接：https://github.com/halolimat/LNEx

Lyrics Segmentation: Textual Macrostructure Detection using Convolutions

• 论文链接：https://aclanthology.org/C18-1174.pdf

• 代码链接：https://github.com/TuringTrain/lyrics_segmentation

Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags

• 论文链接：https://aclanthology.org/C18-1177.pdf

• 代码链接：https://github.com/onurgu/joint-ner-and-md-tagger

Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning

• 论文链接：https://aclanthology.org/C18-1183.pdf

• 代码链接：https://github.com/rainarch/DSNER

Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models

• 论文链接：https://aclanthology.org/C18-1185.pdf

• 代码链接：https://github.com/liah-chan/sequence2sequenceNER

Aspect-based summarization of pros and cons in unstructured product reviews

• 论文链接：https://aclanthology.org/C18-1188.pdf

• 代码链接：https://github.com/fkunneman/Product_review_summary/blob/master/synpat.py

Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew

• 论文链接：https://aclanthology.org/C18-1190.pdf

• 代码链接：https://github.com/omilab/Neural-Sentiment-Analyzer-for-Modern-Hebrew

Scoring and Classifying Implicit Positive Interpretations: A Challenge of Class Imbalance

• 论文链接：https://aclanthology.org/C18-1191.pdf

• 代码链接：https://github.com/cltl/positive-interpretations

Open Information Extraction from Conjunctive Sentences

• 论文链接：https://aclanthology.org/C18-1194.pdf

• 代码链接：https://github.com/dair-iitd/OpenIE-standalone

Graphene: Semantically-Linked Propositions in Open Information Extraction

• 论文链接：https://aclanthology.org/C18-1195.pdf

• 代码链接：https://github.com/Lambda-3/Graphene

An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification

• 论文链接：https://aclanthology.org/C18-1196.pdf

• 代码链接：https://github.com/clulab/releases/tree/master/coling2018-ssl-nec

Multimodal Grounding for Language Processing

• 论文链接：https://aclanthology.org/C18-1197.pdf

• 代码链接：https://github.com/UKPLab/coling18-multimodalSurvey

Stress Test Evaluation for Natural Language Inference

• 论文链接：https://aclanthology.org/C18-1198.pdf

• 代码链接：https://abhilasharavichander.github.io/NLI_StressTest/

Grounded Textual Entailment

• 论文链接：https://aclanthology.org/C18-1199.pdf

• 代码链接：https://github.com/claudiogreco/coling18-gte

Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs

• 论文链接：https://aclanthology.org/C18-1200v2.pdf

• 代码链接：https://github.com/yinwenpeng/KBPath

Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations

• 论文链接：https://aclanthology.org/C18-1205.pdf

• 代码链接：https://github.com/roaminsight/roamresearch

Convolutional Neural Network for Universal Sentence Embeddings

• 论文链接：https://aclanthology.org/C18-1209.pdf

• 代码链接：https://github.com/XiaoqiJiao/COLING2018

Rich Character-Level Information for Korean Morphological Analysis and Part-of-Speech Tagging

• 论文链接：https://aclanthology.org/C18-1210.pdf

• 代码链接：https://github.com/xtknight/rich-morphological-tagger

Real-time Change Point Detection using On-line Topic Models

• 论文链接：https://aclanthology.org/C18-1212.pdf

• 代码链接：https://github.com/cyrilgoutte/EuroGames16

Pluralizing Nouns across Agglutinating Bantu Languages

• 论文链接：https://aclanthology.org/C18-1223.pdf

• 代码链接：https://github.com/runyankorenlg/Generic-Pluralizer

Automatically Extracting Qualia Relations for the Rich Event Ontology

• 论文链接：https://aclanthology.org/C18-1224.pdf

• 代码链接：https://github.com/ghamzak/SUMOQualiaExtraction

Using Formulaic Expressions in Writing Assistance Systems

• 论文链接：https://aclanthology.org/C18-1227.pdf

• 代码链接：https://github.com/Alab-NII/FE/

A Reassessment of Reference-Based Grammatical Error Correction Metrics

• 论文链接：https://aclanthology.org/C18-1231.pdf

• 代码链接：https://github.com/nusnlp/gecmetrics

Information Aggregation via Dynamic Routing for Sequence Encoding

• 论文链接：https://aclanthology.org/C18-1232.pdf

• 代码链接：https://github.com/FudanNLP/Capsule4TextClassification

A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?

• 论文链接：https://aclanthology.org/C18-1233.pdf

• 代码链接：https://github.com/JiaxunCai/Dynet-Biaffine-SRL

Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection

• 论文链接：https://aclanthology.org/C18-1237.pdf

• 代码链接：https://github.com/edithal-14/A-Deep-Neural-Solution-To-Document-Level-Novelty-Detection-COLING-2018-

Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction

• 论文链接：https://aclanthology.org/C18-1239.pdf

• 代码链接：http://github.com/sudy/coling2018

Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms

• 论文链接：https://aclanthology.org/C18-1242.pdf

• 代码链接：https://github.com/Dictanova/term-eval

Neural Activation Semantic Models: Computational lexical semantic models of localized neural activations

• 论文链接：https://aclanthology.org/C18-1243.pdf

• 代码链接：https://github.com/athn-nik/neural_asm

Folksonomication: Predicting Tags for Movies from Plot Synopses using Emotion Flow Encoded Neural Network

• 论文链接：https://aclanthology.org/C18-1244.pdf

• 代码链接：http://ritual.uh.edu/folksonomication-2018

Emotion Representation Mapping for Automatic Lexicon Construction (Mostly) Performs on Human Level

• 论文链接：https://aclanthology.org/C18-1245.pdf

• 代码链接：https://github.com/StevenLOL/ialp2016_Shared_Task

How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs

• 论文链接：https://aclanthology.org/C18-1247.pdf

• 代码链接：[https://github.com/Pranav-Goel/Neural Emotion Intensity Prediction](https://github.com/Pranav-Goel/Neural Emotion Intensity Prediction)

Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media

• 论文链接：https://aclanthology.org/C18-1248.pdf

• 代码链接：https://github.com/ericholgate/vulgartwitter

Sliced Recurrent Neural Networks

• 论文链接：https://aclanthology.org/C18-1250.pdf

• 代码链接：https://github.com/zepingyu0512/srnn

Multi-Task Learning for Sequence Tagging: An Empirical Study

• 论文链接：https://aclanthology.org/C18-1251.pdf

• 代码链接：https://github.com/schangpi/

Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models

• 论文链接：https://aclanthology.org/C18-1252.pdf

• 代码链接：https://github.com/henrymoss/COLING2018

Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions

• 论文链接：https://aclanthology.org/C18-1254.pdf

• 代码链接：https://github.com/CogComp/child-discourse-SRL/tree/master/specs

Generic refinement of expressive grammar formalisms with an application to discontinuous constituent parsing

• 论文链接：https://aclanthology.org/C18-1258.pdf

• 代码链接：https://github.com/kilian-gebhardt/panda-parser

Combining Information-Weighted Sequence Alignment and Sound Correspondence Models for Improved Cognate Detection

• 论文链接：https://aclanthology.org/C18-1264.pdf

• 代码链接：https://github.com/jdellert/iwsa

deepQuest: A Framework for Neural-based Quality Estimation

• 论文链接：https://aclanthology.org/C18-1266.pdf

• 代码链接：https://github.com/fredblain/docQE

Butterfly Effects in Frame Semantic Parsing: impact of data processing on model ranking

• 论文链接：https://aclanthology.org/C18-1267.pdf

• 代码链接：https://gitlab.com/akb89/pyfn

Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model

• 论文链接：https://aclanthology.org/C18-1268.pdf

• 代码链接：https://tinyurl.com/y9omp52c

Quantifying training challenges of dependency parsers

• 论文链接：https://aclanthology.org/C18-1270.pdf

• 代码链接：https://perso.limsi.fr/aufrant

Seq2seq Dependency Parsing

• 论文链接：https://aclanthology.org/C18-1271.pdf

• 代码链接：https://github.com/bcmi220/seq2seq_parser

Deconvolution-Based Global Decoding for Neural Machine Translation

• 论文链接：https://aclanthology.org/C18-1276.pdf

• 代码链接：https://github.com/lancopku/DeconvDec

Integrating Question Classification and Deep Learning for improved Answer Selection

• 论文链接：https://aclanthology.org/C18-1278.pdf

• 代码链接：https://github.com/castorini/Castor

Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering

• 论文链接：https://aclanthology.org/C18-1280.pdf

• 代码链接：https://github.com/UKPLab/coling2018-graph-neural-networks-question-answering

All-in-one: Multi-task Learning for Rumour Verification

• 论文链接：https://aclanthology.org/C18-1288.pdf

• 代码链接：https://github.com/kochkinaelena/Multitask4Veracity

Word-Level Loss Extensions for Neural Temporal Relation Classification

• 论文链接：https://aclanthology.org/C18-1291.pdf

• 代码链接：http://liir.cs.kuleuven.be/software.html

iParaphrasing: Extracting Visually Grounded Paraphrases via an Image

• 论文链接：https://aclanthology.org/C18-1295.pdf

• 代码链接：https://github.com/ids-cv/coling_iparaphrasing

Bridging resolution: Task definition, corpus resources and rule-based experiments

• 论文链接：https://aclanthology.org/C18-1298.pdf

• 代码链接：https://github.com/InaRoesiger/BridgingSystem

ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents

• 论文链接：https://aclanthology.org/C18-1300.pdf

• 代码链接：https://github.com/ColingPaper2018/DialogueAct-Tagger

Arrows are the Verbs of Diagrams

• 论文链接：https://aclanthology.org/C18-1301.pdf

• 代码链接：https://github.com/malihealikhani/Arrows_are_Verbs

Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text

• 论文链接：https://aclanthology.org/C18-1307.pdf

• 代码链接：https://github.com/adapt-sjtu/AMTTL

Addressee and Response Selection for Multilingual Conversation

• 论文链接：https://aclanthology.org/C18-1308.pdf

• 代码链接：https://github.com/aonotas/multilingual_ASR

DIDEC: The Dutch Image Description and Eye-tracking Corpus

• 论文链接：https://aclanthology.org/C18-1310.pdf

• 代码链接：http://didec.uvt.nl

Narrative Schema Stability in News Text

• 论文链接：https://aclanthology.org/C18-1311.pdf

• 代码链接：https://github.com/thedansimonson/durruti

NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager

• 论文链接：https://aclanthology.org/C18-1312.pdf

• 代码链接：https://github.com/sld/convai-bot-1337/blob/master/topic-modelling

AMR Beyond the Sentence: the Multi-sentence AMR corpus

• 论文链接：https://aclanthology.org/C18-1313.pdf

• 代码链接：https://github.com/timjogorman/Multisentence-AMR-guidelines/

Learning Visually-Grounded Semantics from Contrastive Adversarial Samples

• 论文链接：https://aclanthology.org/C18-1315.pdf

• 代码链接：https://github.com/ExplorerFreda/VSE-C

Structured Representation Learning for Online Debate Stance Prediction

• 论文链接：https://aclanthology.org/C18-1316.pdf

• 代码链接：https://github.com/BillMcGrady/StancePrediction

Modeling Multi-turn Conversation with Deep Utterance Aggregation

• 论文链接：https://aclanthology.org/C18-1317.pdf

• 代码链接：https://github.com/cooelf/DeepUtteranceAggregation

A Dataset for Building Code-Mixed Goal Oriented Conversation Systems

• 论文链接：https://aclanthology.org/C18-1319.pdf

• 代码链接：https://github.com/sumanbanerjee1/Code-Mixed-Dialog

AnlamVer: Semantic Model Evaluation Dataset for Turkish - Word Similarity and Relatedness

• 论文链接：https://aclanthology.org/C18-1323.pdf

• 代码链接：http://www.gokhanercan.com/wsquest

Design Challenges and Misconceptions in Neural Sequence Labeling

• 论文链接：https://aclanthology.org/C18-1327.pdf

• 代码链接：https://github.com/jiesutd/NCRFpp

Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering

• 论文链接：https://aclanthology.org/C18-1328.pdf

• 代码链接：https://github.com/lanwuwei/SPM_toolkit

Authorless Topic Models: Biasing Models Away from Known Structure

• 论文链接：https://aclanthology.org/C18-1329.pdf

• 代码链接：https://github.com/laurejt/authorless-tms

SGM: Sequence Generation Model for Multi-label Classification

• 论文链接：https://aclanthology.org/C18-1330.pdf

• 代码链接：https://github.com/lancopku/SGM