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09/18/2023
Summarization is (Almost) Dead
How well can large language models (LLMs) generate summaries? We develop...
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07/25/2023
A Comprehensive Evaluation and Analysis Study for Chinese Spelling Check
With the development of pre-trained models and the incorporation of phon...
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07/01/2023
Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection
Hyperbole, or exaggeration, is a common linguistic phenomenon. The detec...
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06/08/2023
Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework
Factuality is important to dialogue summarization. Factual error correct...
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06/07/2023
A New Dataset and Empirical Study for Sentence Simplification in Chinese
Sentence Simplification is a valuable technique that can benefit languag...
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05/24/2023
Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks
Research on automated text summarization relies heavily on human and aut...
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05/21/2023
Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification
Randomly masking text spans in ordinary texts in the pre-training stage ...
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04/05/2023
Human-like Summarization Evaluation with ChatGPT
Evaluating text summarization is a challenging problem, and existing eva...
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03/06/2023
Models See Hallucinations: Evaluating the Factuality in Video Captioning
Video captioning aims to describe events in a video with natural languag...
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02/14/2023
Exploiting Summarization Data to Help Text Simplification
One of the major problems with text simplification is the lack of high-q...
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11/20/2022
How to Describe Images in a More Funny Way? Towards a Modular Approach to Cross-Modal Sarcasm Generation
Sarcasm generation has been investigated in previous studies by consider...
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11/15/2022
Chinese Spelling Check with Nearest Neighbors
Chinese Spelling Check (CSC) aims to detect and correct error tokens in ...
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10/17/2022
Social Biases in Automatic Evaluation Metrics for NLG
Many studies have revealed that word embeddings, language models, and mo...
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09/16/2022
An Empirical Study of Automatic Post-Editing
Automatic post-editing (APE) aims to reduce manual post-editing efforts ...
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09/03/2022
CrossDial: An Entertaining Dialogue Dataset of Chinese Crosstalk
Crosstalk is a traditional Chinese theatrical performance art. It is com...
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05/01/2022
Nearest Neighbor Knowledge Distillation for Neural Machine Translation
k-nearest-neighbor machine translation (NN-MT), proposed by Khandelwal e...
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04/16/2022
SimpleBERT: A Pre-trained Model That Learns to Generate Simple Words
Pre-trained models are widely used in the tasks of natural language proc...
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03/19/2022
Dependency-based Mixture Language Models
Various models have been proposed to incorporate knowledge of syntactic ...
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01/29/2022
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analy...
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01/22/2022
Visual Information Guided Zero-Shot Paraphrase Generation
Zero-shot paraphrase generation has drawn much attention as the large-sc...
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12/16/2021
Neural Content Extraction for Poster Generation of Scientific Papers
The problem of poster generation for scientific papers is under-investig...
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11/05/2021
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction
Grammatical Error Correction (GEC) is a task of detecting and correcting...
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10/11/2021
Document-Level Text Simplification: Dataset, Criteria and Baseline
Text simplification is a valuable technique. However, current research i...
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09/23/2021
BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles
A riddle is a question or statement with double or veiled meanings, foll...
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09/17/2021
CodeQA: A Question Answering Dataset for Source Code Comprehension
We propose CodeQA, a free-form question answering dataset for the purpos...
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09/16/2021
MOVER: Mask, Over-generate and Rank for Hyperbole Generation
Despite being a common figure of speech, hyperbole is under-researched w...
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09/15/2021
Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering
Paraphrase generation is an important task in natural language processin...
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09/04/2021
Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach
In recent years, neural paraphrase generation based on Seq2Seq has achie...
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06/09/2021
Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing
Abstract Meaning Representation (AMR) is a rooted, labeled, acyclic grap...
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05/08/2021
Neural Text Generation with Part-of-Speech Guided Softmax
Neural text generation models are likely to suffer from the low-diversit...
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02/14/2021
Learning a Product Relevance Model from Click-Through Data in E-Commerce
The search engine plays a fundamental role in online e-commerce systems,...
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01/21/2021
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation
We propose ParaSCI, the first large-scale paraphrase dataset in the scie...
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11/11/2020
IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation
Context-dependent text-to-SQL task has drawn much attention in recent ye...
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09/07/2020
TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis
Multimodal sentiment analysis is an important research area that predict...
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07/17/2020
Constructing a Family Tree of Ten Indo-European Languages with Delexicalized Cross-linguistic Transfer Patterns
It is reasonable to hypothesize that the divergence patterns formulated ...
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09/23/2019
Automated Chess Commentator Powered by Neural Chess Engine
In this paper, we explore a new approach for automated chess commentary ...
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09/13/2019
A Neural Approach to Irony Generation
Ironies can not only express stronger emotions but also show a sense of ...
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07/25/2019
INS: An Interactive Chinese News Synthesis System
Nowadays, we are surrounded by more and more online news articles. Tens ...
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07/04/2019
A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers
We present a phenomenon-oriented comparative analysis of the two dominan...
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06/03/2019
A Semi-Supervised Approach for Low-Resourced Text Generation
Recently, encoder-decoder neural models have achieved great success on t...
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06/03/2019
Massive Styles Transfer with Limited Labeled Data
Language style transfer has attracted more and more attention in the pas...
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05/30/2019
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation
Unsupervised text attribute transfer automatically transforms a text to ...
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04/10/2019
AMRec: An Intelligent System for Academic Method Recommendation
Finding new academic Methods for research problems is the key task in a ...
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08/28/2018
Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data
This paper studies semantic parsing for interlanguage (L2), taking seman...
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04/24/2018
Towards a Neural Network Approach to Abstractive Multi-Document Summarization
Till now, neural abstractive summarization methods have achieved great s...
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11/01/2017
Towards Automatic Generation of Entertaining Dialogues in Chinese Crosstalks
Crosstalk, also known by its Chinese name xiangsheng, is a traditional C...
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05/17/2017
Learning to Identify Ambiguous and Misleading News Headlines
Accuracy is one of the basic principles of journalism. However, it is in...
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07/08/2015
Learning to Mine Chinese Coordinate Terms Using the Web
Coordinate relation refers to the relation between instances of a concep...
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07/08/2015
Mining and Analyzing the Future Works in Scientific Articles
Future works in scientific articles are valuable for researchers and the...
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07/08/2015