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09/13/2023
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels
Recommender systems (RS) have achieved significant success by leveraging...
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07/19/2023
Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?
A typical benchmark dataset for recommender system (RecSys) evaluation c...
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07/13/2023
Research Explosion: More Effort to Climb onto Shoulders of the Giant
Fast-growing scientific publications present challenges to the scientifi...
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05/18/2023
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation
Goal-oriented Script Generation is a new task of generating a list of st...
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05/07/2023
Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection
Open Information Extraction (OIE) aims to extract factual relational tup...
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05/05/2023
Retraining A Graph-based Recommender with Interests Disentanglement
In a practical recommender system, new interactions are continuously obs...
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05/05/2023
Open Information Extraction via Chunks
Open Information Extraction (OIE) aims to extract relational tuples from...
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05/03/2023
Few-shot Event Detection: An Empirical Study and a Unified View
Few-shot event detection (ED) has been widely studied, while this brings...
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04/03/2023
DiffuRec: A Diffusion Model for Sequential Recommendation
Mainstream solutions to Sequential Recommendation (SR) represent items w...
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03/15/2023
GCRE-GPT: A Generative Model for Comparative Relation Extraction
Given comparative text, comparative relation extraction aims to extract ...
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03/15/2023
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
Large Language Models (LLMs) have made remarkable strides in various tas...
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12/06/2022
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need
Deep learning technologies have brought us many models that outperform h...
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12/05/2022
Syntactic Multi-view Learning for Open Information Extraction
Open Information Extraction (OpenIE) aims to extract relational tuples f...
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10/12/2022
Perplexity from PLM Is Unreliable for Evaluating Text Quality
Recently, amounts of works utilize perplexity (PPL) to evaluate the qual...
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10/09/2022
From Counter-intuitive Observations to a Fresh Look at Recommender System
Recently, a few papers report counter-intuitive observations made from e...
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05/28/2022
Automatic Expert Selection for Multi-Scenario and Multi-Task Search
Multi-scenario learning (MSL) enables a service provider to cater for us...
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05/24/2022
A Survey on Neural Open Information Extraction: Current Status and Future Directions
Open Information Extraction (OpenIE) facilitates domain-independent disc...
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04/12/2022
Recommender May Not Favor Loyal Users
In academic research, recommender systems are often evaluated on benchma...
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03/23/2022
Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis
Many studies on dialog emotion analysis focus on utterance-level emotion...
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02/05/2022
Aspect-based Sentiment Analysis through EDU-level Attentions
A sentence may express sentiments on multiple aspects. When these aspect...
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01/14/2022
Towards Reducing Manual Workload in Technology-Assisted Reviews: Estimating Ranking Performance
Conducting a systematic review (SR) is comprised of multiple tasks: (i) ...
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12/28/2021
Mirror Matching: Document Matching Approach in Seed-driven Document Ranking for Medical Systematic Reviews
When medical researchers conduct a systematic review (SR), screening stu...
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09/08/2021
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict
Sarcasm employs ambivalence, where one says something positive but actua...
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07/07/2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Collaborative filtering (CF) is widely used to learn an informative late...
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05/10/2021
DocOIE: A Document-level Context-Aware Dataset for OpenIE
Open Information Extraction (OpenIE) aims to extract structured relation...
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05/03/2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
Recent advances in reinforcement learning have inspired increasing inter...
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11/04/2020
Generative Inverse Deep Reinforcement Learning for Online Recommendation
Deep reinforcement learning enables an agent to capture user's interest ...
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10/21/2020
On Offline Evaluation of Recommender Systems
In academic research, recommender models are often evaluated offline on ...
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05/28/2020
A Re-visit of the Popularity Baseline in Recommender Systems
Popularity is often included in experimental evaluation to provide a ref...
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05/21/2020
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network
In a large recommender system, the products (or items) could be in many ...
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03/02/2020
UFTR: A Unified Framework for Ticket Routing
Corporations today face increasing demands for the timely and effective ...
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12/31/2019
CASE: Context-Aware Semantic Expansion
In this paper, we define and study a new task called Context-Aware Seman...
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07/23/2019
Efficient Approximation Algorithms for Adaptive Seed Minimization
As a dual problem of influence maximization, the seed minimization probl...
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06/04/2019
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test
Cloze-style reading comprehension in Chinese is still limited due to the...
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05/25/2019
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation
Deep learning based recommender systems have been extensively explored i...
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05/09/2019
Targeted Sentiment Analysis: A Data-Driven Categorization
Targeted sentiment analysis (TSA), also known as aspect based sentiment ...
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04/21/2019
A Study on Agreement in PICO Span Annotations
In evidence-based medicine, relevance of medical literature is determine...
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04/21/2019
Understanding Stability of Medical Concept Embeddings: Analysis and Prediction
In biomedical area, medical concepts linked to external knowledge bases ...
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12/22/2018
A Survey on Deep Learning for Named Entity Recognition
Named entity recognition (NER) is the task to identify text spans that m...
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08/20/2018
Next Item Recommendation with Self-Attention
In this paper, we propose a novel sequence-aware recommendation model. O...
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08/20/2018
Dynamic Intention-Aware Recommendation with Self-Attention
Predicting the missing values given the observed interaction matrix is a...
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05/08/2018
NeuRec: On Nonlinear Transformation for Personalized Ranking
Modelling user-item interaction patterns is an important task for person...
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02/04/2018
