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/PyTorchSeqLabel

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

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

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

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

Few-Shot Charge Prediction with Discriminative Legal Attributes

COLING 2018 thunlp/attribute_charge

Specifically, our model outperforms other baselines by more than 50{\%} in the few-shot scenario.

TEXT 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

Graphene: Semantically-Linked Propositions in Open Information Extraction

COLING 2018 Lambda-3/Graphene

We present an Open Information Extraction (IE) approach that uses a two-layered transformation stage consisting of a clausal disembedding layer and a phrasal disembedding layer, together with rhetorical relation identification.

OPEN INFORMATION EXTRACTION