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06/24/2023
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers
Instead of relying on human-annotated training samples to build a classi...
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05/20/2023
Patton: Language Model Pretraining on Text-Rich Networks
A real-world text corpus sometimes comprises not only text documents but...
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02/21/2023
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
Edges in many real-world social/information networks are associated with...
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02/07/2023
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study
Due to the exponential growth of scientific publications on the Web, the...
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02/04/2023
Representation Deficiency in Masked Language Modeling
Masked Language Modeling (MLM) has been one of the most prominent approa...
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12/12/2022
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts
Instead of mining coherent topics from a given text corpus in a complete...
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11/06/2022
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Recent studies have revealed the intriguing few-shot learning ability of...
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06/28/2022
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation
We study the problem of few-shot Fine-grained Entity Typing (FET), where...
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05/04/2022
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds
Discovering latent topics from text corpora has been studied for decades...
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04/07/2022
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
We present a new framework AMOS that pretrains text encoders with an Adv...
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02/09/2022
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
Topic models have been the prominent tools for automatic topic discovery...
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02/09/2022
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
Pretrained language models (PLMs) have demonstrated remarkable performan...
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12/13/2021
Pedestrian Trajectory Prediction via Spatial Interaction Transformer Network
As a core technology of the autonomous driving system, pedestrian trajec...
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11/07/2021
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information
We study the problem of weakly supervised text classification, which aim...
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10/17/2021
Fine-Grained Opinion Summarization with Minimal Supervision
Opinion summarization aims to profile a target by extracting opinions fr...
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09/10/2021
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
We study the problem of training named entity recognition (NER) models u...
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05/28/2021
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging
Identifying and understanding quality phrases from context is a fundamen...
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02/16/2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
We present COCO-LM, a new self-supervised learning framework that pretra...
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10/26/2020
Hierarchical Metadata-Aware Document Categorization under Weak Supervision
Categorizing documents into a given label hierarchy is intuitively appea...
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10/14/2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach
Current text classification methods typically require a good number of h...
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10/13/2020
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring
Taxonomy is not only a fundamental form of knowledge representation, but...
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10/13/2020
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding
Aspect-based sentiment analysis of review texts is of great value for un...
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07/18/2020
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
Mining a set of meaningful topics organized into a hierarchy is intuitiv...
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05/01/2020
Minimally Supervised Categorization of Text with Metadata
Document categorization, which aims to assign a topic label to each docu...
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11/21/2019
Separate and Attend in Personal Email Search
In personal email search, user queries often impose different requiremen...
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11/04/2019
Spherical Text Embedding
Unsupervised text embedding has shown great power in a wide range of NLP...
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10/16/2019
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories
GitHub has become an important platform for code sharing and scientific ...
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09/17/2019
A Data-Center FPGA Acceleration Platform for Convolutional Neural Networks
Intensive computation is entering data centers with multiple workloads o...
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08/20/2019
CatE: Category-Name GuidedWord Embedding
Unsupervised word embedding has benefited a wide spectrum of NLP tasks d...
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12/29/2018
Weakly-Supervised Hierarchical Text Classification
Hierarchical text classification, which aims to classify text documents ...
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09/02/2018
Weakly-Supervised Neural Text Classification
Deep neural networks are gaining increasing popularity for the classic t...
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04/21/2018