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07/26/2023
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation
Conversational recommendation systems (CRS) aim to interactively acquire...
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07/13/2023
Copy Is All You Need
The dominant text generation models compose the output by sequentially s...
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05/17/2023
An Empirical Study on the Language Modal in Visual Question Answering
Generalization beyond in-domain experience to out-of-distribution data i...
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05/15/2023
Measuring Cross-Lingual Transferability of Multilingual Transformers on Sentence Classification
Recent studies have exhibited remarkable capabilities of pre-trained mul...
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05/03/2023
AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking
Annotating long-document question answering (long-document QA) pairs is ...
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04/07/2023
Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing
Currently, human-bot symbiosis dialog systems, e.g., pre- and after-sale...
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12/05/2022
Momentum Decoding: Open-ended Text Generation As Graph Exploration
Open-ended text generation with autoregressive language models (LMs) is ...
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11/28/2022
STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) has become an emerging task i...
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10/17/2022
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold
Conventional event detection models under supervised learning settings s...
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10/17/2022
Sequential Topic Selection Model with Latent Variable for Topic-Grounded Dialogue
Recently, topic-grounded dialogue system has attracted significant atten...
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10/11/2022
Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector Network
Long document question answering is a challenging task due to its demand...
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09/23/2022
Unsupervised Hashing with Semantic Concept Mining
Recently, to improve the unsupervised image retrieval performance, plent...
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08/27/2022
Multi-level Contrastive Learning Framework for Sequential Recommendation
Sequential recommendation (SR) aims to predict the subsequent behaviors ...
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08/23/2022
Unsupervised Question Answering via Answer Diversifying
Unsupervised question answering is an attractive task due to its indepen...
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08/22/2022
Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning
Incorporating Knowledge Graphs (KG) into recommeder system has attracted...
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06/18/2022
Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks
Existing online recruitment platforms depend on automatic ways of conduc...
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05/11/2022
Relational Triple Extraction: One Step is Enough
Extracting relational triples from unstructured text is an essential tas...
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04/19/2022
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Knowledge graph (KG) plays an increasingly important role in recommender...
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04/06/2022
BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analy...
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04/06/2022
Hammer PDF: An Intelligent PDF Reader for Scientific Papers
It is the most important way for researchers to acquire academic progres...
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03/10/2022
OneRel:Joint Entity and Relation Extraction with One Module in One Step
Joint entity and relation extraction is an essential task in natural lan...
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10/13/2021
Exploring Dense Retrieval for Dialogue Response Selection
Recent research on dialogue response selection has been mainly focused o...
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09/23/2021
Cross-Lingual Language Model Meta-Pretraining
The success of pretrained cross-lingual language models relies on two es...
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09/16/2021
Context-aware Entity Typing in Knowledge Graphs
Knowledge graph entity typing aims to infer entities' missing types in k...
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06/11/2021
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
The cross-lingual language models are typically pretrained with masked l...
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06/09/2021
Global Context Enhanced Graph Neural Networks for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims at ...
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05/26/2021
Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking
Chinese Spell Checking (CSC) aims to detect and correct erroneous charac...
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05/08/2021
Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?
Dialogue state tracking (DST) plays a key role in task-oriented dialogue...
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01/02/2021
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition
Recently, it has attracted much attention to build reliable named entity...
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12/21/2020
Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems
Since the pre-trained language models are widely used, retrieval-based o...
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12/17/2020
Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic Hashing
We study the coarse-grained selection module in retrieval-based chatbot....
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12/10/2020
Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims to ...
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11/20/2020
Exploring Global Information for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims at ...
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11/16/2020
User-based Network Embedding for Collective Opinion Spammer Detection
Due to the huge commercial interests behind online reviews, a tremendous...
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11/06/2020
Deep Cross-modal Proxy Hashing
Due to their high retrieval efficiency and low storage cost for cross-mo...
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10/26/2020
Deep Kernel Supervised Hashing for Node Classification in Structural Networks
Node classification in structural networks has been proven to be useful ...
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08/07/2020
Which Kind Is Better in Open-domain Multi-turn Dialog,Hierarchical or Non-hierarchical Models? An Empirical Study
Currently, open-domain generative dialog systems have attracted consider...
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07/15/2020
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
In this work, we formulate cross-lingual language model pre-training as ...
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07/03/2020
Generating Informative Dialogue Responses with Keywords-Guided Networks
Recently, open-domain dialogue systems have attracted growing attention....
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05/08/2020
Context-Sensitive Generation Network for Handing Unknown Slot Values in Dialogue State Tracking
As a key component in a dialogue system, dialogue state tracking plays a...
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04/06/2020
PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems
Open-domain generative dialogue systems have attracted considerable atte...
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11/11/2019
DialogAct2Vec: Towards End-to-End Dialogue Agent by Multi-Task Representation Learning
In end-to-end dialogue modeling and agent learning, it is important to (...
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11/10/2019
Can Monolingual Pretrained Models Help Cross-Lingual Classification?
Multilingual pretrained language models (such as multilingual BERT) have...
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11/08/2019
SEPT: Improving Scientific Named Entity Recognition with Span Representation
We introduce a new scientific named entity recognizer called SEPT, which...
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09/23/2019
Cross-Lingual Natural Language Generation via Pre-Training
In this work we focus on transferring supervision signals of natural lan...
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08/25/2019
Multi-task Learning for Low-resource Second Language Acquisition Modeling
Second language acquisition (SLA) modeling is to predict whether second ...
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08/15/2019
Towards End-to-End Learning for Efficient Dialogue Agent by Modeling Looking-ahead Ability
Learning an efficient manager of dialogue agent from data with little ma...
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08/13/2019
Complicated Table Structure Recognition
The task of table structure recognition aims to recognize the internal s...
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08/12/2019
Deep Hashing for Signed Social Network Embedding
Network embedding is a promising way of network representation, facilita...
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08/12/2019
