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08/17/2023
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning
Cross-lingual named entity recognition (CrossNER) faces challenges stemm...
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06/17/2023
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation
Existing controllable dialogue generation work focuses on the single-att...
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06/17/2023
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue
Pre-trained language models based on general text enable huge success in...
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06/11/2023
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model
Currently, the reduction in the parameter scale of large-scale pre-train...
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05/28/2023
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
Generalized intent discovery aims to extend a closed-set in-domain inten...
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05/21/2023
Task-agnostic Distillation of Encoder-Decoder Language Models
Finetuning pretrained language models (LMs) have enabled appealing perfo...
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05/20/2023
Lifting the Curse of Capacity Gap in Distilling Language Models
Pretrained language models (LMs) have shown compelling performance on va...
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03/20/2023
Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition
Named entity recognition (NER) is an important research problem in natur...
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12/15/2022
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration
Instance segmentation in videos, which aims to segment and track multipl...
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10/19/2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
Detecting out-of-domain (OOD) intents from user queries is essential for...
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10/17/2022
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
Discovering out-of-domain (OOD) intent is important for developing new s...
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10/17/2022
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems
Recent advances in neural approaches greatly improve task-oriented dialo...
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10/10/2022
XPrompt: Exploring the Extreme of Prompt Tuning
Prompt tuning learns soft prompts to condition frozen Pre-trained Langua...
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09/13/2022
Generalized Intent Discovery: Learning from Open World Dialogue System
Traditional intent classification models are based on a pre-defined inte...
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09/02/2022
Structural Bias for Aspect Sentiment Triplet Extraction
Structural bias has recently been exploited for aspect sentiment triplet...
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08/31/2022
Unified Knowledge Prompt Pre-training for Customer Service Dialogues
Dialogue bots have been widely applied in customer service scenarios to ...
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08/23/2022
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations
Pre-trained Language Models (PLMs) have achieved remarkable performance ...
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05/29/2022
AutoDisc: Automatic Distillation Schedule for Large Language Model Compression
Driven by the teacher-student paradigm, knowledge distillation is one of...
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05/11/2022
Making Pre-trained Language Models Good Long-tailed Learners
Prompt-tuning has shown appealing performance in few-shot classification...
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03/05/2022
Deep Partial Multiplex Network Embedding
Network embedding is an effective technique to learn the low-dimensional...
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12/08/2021
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction
With the booming of pre-trained transformers, remarkable progress has be...
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05/08/2021
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval
Recently, the retrieval models based on dense representations have been ...
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03/11/2021
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction
Sentiment analysis has attracted increasing attention in e-commerce. The...
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05/19/2019
Earlier Attention? Aspect-Aware LSTM for Aspect Sentiment Analysis
Aspect-based sentiment analysis (ABSA) aims to predict fine-grained sent...
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01/05/2018