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09/03/2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
While large language models (LLMs) have demonstrated remarkable capabili...
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06/04/2023
Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model
Sentence embedding is one of the most fundamental tasks in Natural Langu...
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05/29/2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Most named entity recognition (NER) systems focus on improving model per...
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05/22/2023
ImSimCSE: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives
This paper aims to improve contrastive learning for sentence embeddings ...
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05/13/2023
Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance
Static word embedding is still useful, particularly for context-unavaila...
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05/13/2023
A Simple and Plug-and-play Method for Unsupervised Sentence Representation Enhancement
Generating proper embedding of sentences through an unsupervised way is ...
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03/23/2023
Fairness-guided Few-shot Prompting for Large Language Models
Large language models have demonstrated surprising ability to perform in...
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02/23/2023
Federated Nearest Neighbor Machine Translation
To protect user privacy and meet legal regulations, federated learning (...
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07/04/2022
Discourse-Aware Graph Networks for Textual Logical Reasoning
Textual logical reasoning, especially question answering (QA) tasks with...
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03/29/2022
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance
Probing is popular to analyze whether linguistic information can be capt...
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03/29/2022
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics
Current practices in metric evaluation focus on one single dataset, e.g....
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03/09/2022
Efficient Sub-structured Knowledge Distillation
Structured prediction models aim at solving a type of problem where the ...
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02/17/2022
Revisiting the Evaluation Metrics of Paraphrase Generation
Paraphrase generation is an important NLP task that has achieved signifi...
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02/02/2022
A Survey on Retrieval-Augmented Text Generation
Recently, retrieval-augmented text generation attracted increasing atten...
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01/09/2022
Rethink Stealthy Backdoor Attacks in Natural Language Processing
Recently, it has been shown that natural language processing (NLP) model...
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08/26/2021
Rethinking Negative Sampling for Unlabeled Entity Problem in Named Entity Recognition
In many situations (e.g., distant supervision), unlabeled entity problem...
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05/31/2021
GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation
Computer-aided translation (CAT), the use of software to assist a human ...
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05/27/2021
TranSmart: A Practical Interactive Machine Translation System
Automatic machine translation is super efficient to produce translations...
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05/24/2021
Neural Machine Translation with Monolingual Translation Memory
Prior work has proved that Translation memory (TM) can boost the perform...
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05/06/2021
Assessing Dialogue Systems with Distribution Distances
An important aspect of developing dialogue systems is how to evaluate an...
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04/15/2021
Neural Sequence Segmentation as Determining the Leftmost Segments
Prior methods to text segmentation are mostly at token level. Despite th...
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12/31/2020
TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis
This technique report introduces TexSmart, a text understanding system t...
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12/10/2020
Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition
In many scenarios, named entity recognition (NER) models severely suffer...
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12/10/2020
Segmenting Natural Language Sentences via Lexical Unit Analysis
In this work, we present Lexical Unit Analysis (LUA), a framework for ge...
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10/06/2020
On the Branching Bias of Syntax Extracted from Pre-trained Language Models
Many efforts have been devoted to extracting constituency trees from pre...
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05/04/2020
Evaluating Explanation Methods for Neural Machine Translation
Recently many efforts have been devoted to interpreting the black-box NM...
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04/05/2020
Understanding Learning Dynamics for Neural Machine Translation
Despite the great success of NMT, there still remains a severe challenge...
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04/05/2020
Detecting and Understanding Generalization Barriers for Neural Machine Translation
Generalization to unseen instances is our eternal pursuit for all data-d...
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08/29/2019
Regularized Context Gates on Transformer for Machine Translation
Context gates are effective to control the contributions from the source...
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08/13/2019
Neural Machine Translation with Noisy Lexical Constraints
Lexically constrained decoding for machine translation has shown to be b...
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05/09/2018
Automatic Article Commenting: the Task and Dataset
Comments of online articles provide extended views and improve user enga...
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09/14/2016
