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06/16/2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data
Relation extraction (RE) aims to extract relations from sentences and do...
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06/15/2023
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models
Reasoning about time is of fundamental importance. Many facts are time-d...
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06/11/2023
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering
In this work, we study multi-source test-time model adaptation from user...
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05/24/2023
Unlocking Temporal Question Answering for Large Language Models Using Code Execution
Large language models (LLMs) have made significant progress in natural l...
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02/09/2023
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study
A deployed question answering (QA) model can easily fail when the test d...
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11/09/2022
Grammatical Error Correction: A Survey of the State of the Art
Grammatical Error Correction (GEC) is the task of automatically detectin...
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05/25/2022
Revisiting DocRED – Addressing the Overlooked False Negative Problem in Relation Extraction
The DocRED dataset is one of the most popular and widely used benchmarks...
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03/21/2022
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
Document-level Relation Extraction (DocRE) is a more challenging task co...
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02/22/2022
A Semi-Supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
Identifying breakdowns in ongoing dialogues helps to improve communicati...
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11/02/2021
System Combination for Grammatical Error Correction Based on Integer Programming
In this paper, we propose a system combination method for grammatical er...
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10/28/2021
Diversity-Driven Combination for Grammatical Error Correction
Grammatical error correction (GEC) is the task of detecting and correcti...
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08/21/2021
A Hierarchical Entity Graph Convolutional Network for Relation Extraction across Documents
Distantly supervised datasets for relation extraction mostly focus on se...
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10/04/2020
A Survey of Unsupervised Dependency Parsing
Syntactic dependency parsing is an important task in natural language pr...
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09/24/2020
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification
Adapting pre-trained language models (PrLMs) (e.g., BERT) to new domains...
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02/23/2020
Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?
Multi-hop question answering (QA) requires a model to retrieve and integ...
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12/09/2019
Effective Attention Modeling for Neural Relation Extraction
Relation extraction is the task of determining the relation between two ...
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11/22/2019
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction
A relation tuple consists of two entities and the relation between them,...
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10/01/2019
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations
Contextualized word representations are able to give different represent...
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06/17/2019
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis produces a list of aspect terms and thei...
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09/03/2018
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification
We consider the cross-domain sentiment classification problem, where a s...
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06/12/2018
Exploiting Document Knowledge for Aspect-level Sentiment Classification
Attention-based long short-term memory (LSTM) networks have proven to be...
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05/04/2018
Upping the Ante: Towards a Better Benchmark for Chinese-to-English Machine Translation
There are many machine translation (MT) papers that propose novel approa...
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01/26/2018
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
We improve automatic correction of grammatical, orthographic, and colloc...
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01/25/2018
A Question-Focused Multi-Factor Attention Network for Question Answering
Neural network models recently proposed for question answering (QA) prim...
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02/15/2017
A Dependency-Based Neural Reordering Model for Statistical Machine Translation
In machine translation (MT) that involves translating between two langua...
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08/03/2016
To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation
Reordering poses a major challenge in machine translation (MT) between t...
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06/01/2016
Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction
Grammatical error correction (GEC) is the task of detecting and correcti...
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06/01/2016
Neural Network Translation Models for Grammatical Error Correction
Phrase-based statistical machine translation (SMT) systems have previous...
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01/23/2014
Improving Statistical Machine Translation for a Resource-Poor Language Using Related Resource-Rich Languages
We propose a novel language-independent approach for improving machine t...
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11/03/2010