COLING 2018

Contextual String Embeddings for Sequence Labeling

COLING 2018 zalandoresearch/flair

Recent advances in language modeling using recurrent neural networks have made it viable to model language as distributions over characters.

CHUNKING LANGUAGE MODELLING NAMED ENTITY RECOGNITION PART-OF-SPEECH TAGGING WORD EMBEDDINGS

Design Challenges and Misconceptions in Neural Sequence Labeling

COLING 2018 jiesutd/NCRFpp

We investigate the design challenges of constructing effective and efficient neural sequence labeling systems, by reproducing twelve neural sequence labeling models, which include most of the state-of-the-art structures, and conduct a systematic model comparison on three benchmarks (i. e. NER, Chunking, and POS tagging).

CHUNKING

Sliced Recurrent Neural Networks

COLING 2018 zepingyu0512/srnn

In this paper, we introduce sliced recurrent neural networks (SRNNs), which could be parallelized by slicing the sequences into many subsequences.

SENTIMENT ANALYSIS

Representation Learning of Entities and Documents from Knowledge Base Descriptions

COLING 2018 wikipedia2vec/wikipedia2vec

In this paper, we describe TextEnt, a neural network model that learns distributed representations of entities and documents directly from a knowledge base (KB).

ENTITY TYPING REPRESENTATION LEARNING TEXT CLASSIFICATION

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

COLING 2018 lanwuwei/SPM_toolkit

In this paper, we analyze several neural network designs (and their variations) for sentence pair modeling and compare their performance extensively across eight datasets, including paraphrase identification, semantic textual similarity, natural language inference, and question answering tasks.

NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY SENTENCE PAIR MODELING

The effect of information controls on developers in China: An analysis of censorship in Chinese open source projects

COLING 2018 citizenlab/chat-censorship

Censorship of Internet content in China is understood to operate through a system of intermediary liability whereby service providers are liable for the content on their platforms.

SGM: Sequence Generation Model for Multi-label Classification

COLING 2018 lancopku/SGM

Further analysis of experimental results demonstrates that the proposed methods not only capture the correlations between labels, but also select the most informative words automatically when predicting different labels.

MULTI-LABEL CLASSIFICATION

Modeling Multi-turn Conversation with Deep Utterance Aggregation

COLING 2018 cooelf/DeepUtteranceAggregation

In this paper, we formulate previous utterances into context using a proposed deep utterance aggregation model to form a fine-grained context representation.

CONVERSATIONAL RESPONSE SELECTION

Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning

COLING 2018 rainarch/DSNER

A bottleneck problem with Chinese named entity recognition (NER) in new domains is the lack of annotated data.

CHINESE NAMED ENTITY RECOGNITION RELATION EXTRACTION