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06/25/2023
Low-Rank Prune-And-Factorize for Language Model Compression
The components underpinning PLMs – large weight matrices – were shown to...
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05/21/2023
Pruning Pre-trained Language Models with Principled Importance and Self-regularization
Iterative pruning is one of the most effective compression methods for p...
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05/04/2023
Semantic Space Grounded Weighted Decoding for Multi-Attribute Controllable Dialogue Generation
Controlling chatbot utterance generation with multiple attributes such a...
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03/14/2023
BLAT: Bootstrapping Language-Audio Pre-training based on AudioSet Tag-guided Synthetic Data
Compared with ample visual-text pre-training research, few works explore...
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11/21/2022
In-sample Curriculum Learning by Sequence Completion for Natural Language Generation
Curriculum learning has shown promising improvements in multiple domains...
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10/18/2022
Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directions
Abstractive dialogue summarization is to generate a concise and fluent s...
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05/23/2022
Symptom Identification for Interpretable Detection of Multiple Mental Disorders
Mental disease detection (MDD) from social media has suffered from poor ...
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05/21/2022
Few-Shot Natural Language Inference Generation with PDD: Prompt and Dynamic Demonstration
Natural Language Inference Generation task is to generate a text hypothe...
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05/19/2022
Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression
Depression is a prominent health challenge to the world, and early risk ...
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05/12/2022
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation
News recommendation for anonymous readers is a useful but challenging ta...
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04/29/2022
Leaner and Faster: Two-Stage Model Compression for Lightweight Text-Image Retrieval
Current text-image approaches (e.g., CLIP) typically adopt dual-encoder ...
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04/28/2022
Post-Training Dialogue Summarization using Pseudo-Paraphrasing
Previous dialogue summarization techniques adapt large language models p...
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01/25/2022
Modeling Multi-level Context for Informational Bias Detection by Contrastive Learning and Sentential Graph Network
Informational bias is widely present in news articles. It refers to prov...
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10/10/2021
Can Audio Captions Be Evaluated with Image Caption Metrics?
Automated audio captioning aims at generating textual descriptions for a...
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10/03/2021
Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging
Audio tagging aims at predicting sound events occurred in a recording. T...
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04/21/2021
Diverse and Specific Clarification Question Generation with Keywords
Product descriptions on e-commerce websites often suffer from missing im...
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02/09/2021
Statistically Profiling Biases in Natural Language Reasoning Datasets and Models
Recent work has indicated that many natural language understanding and r...
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12/04/2020
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues
Interpersonal language style shifting in dialogues is an interesting and...
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10/04/2020
Multi-turn Response Selection using Dialogue Dependency Relations
Multi-turn response selection is a task designed for developing dialogue...
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05/19/2020
Matching Questions and Answers in Dialogues from Online Forums
Matching question-answer relations between two turns in conversations is...
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04/26/2020
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Little Training Data
Few-shot relation classification describes a circumstance where a model ...
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04/24/2020
ST^2: Small-data Text Style Transfer via Multi-task Meta-Learning
Text style transfer aims to paraphrase a sentence in one style into anot...
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04/21/2020
Knowledge-Driven Distractor Generation for Cloze-style Multiple Choice Questions
In this paper, we propose a novel configurable framework to automaticall...
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04/03/2020
Unpack Local Model Interpretation for GBDT
A gradient boosting decision tree (GBDT), which aggregates a collection ...
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03/30/2020
AliCoCo: Alibaba E-commerce Cognitive Concept Net
One of the ultimate goals of e-commerce platforms is to satisfy various ...
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02/27/2020
Adapted tree boosting for Transfer Learning
Secure online transaction is an essential task for e-commerce platforms....
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10/24/2019
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations
Previous work on cross-lingual sequence labeling tasks either requires p...
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10/08/2019
Conceptualize and Infer User Needs in E-commerce
Understanding latent user needs beneath shopping behaviors is critical t...
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05/17/2019
Exact-K Recommendation via Maximal Clique Optimization
This paper targets to a novel but practical recommendation problem named...
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08/21/2018
Automatic Generation of Text Descriptive Comments for Code Blocks
We propose a framework to automatically generate descriptive comments fo...
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03/30/2018
Automatic Generation of Chinese Short Product Titles for Mobile Display
This paper studies the problem of automatically extracting a short title...
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03/30/2018
Deep Cascade Multi-task Learning for Slot Filling in Chinese E-commerce Shopping Guide Assistant
Slot filling is a critical task in natural language understanding (NLU) ...
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03/02/2018
Representing Verbs as Argument Concepts
Verbs play an important role in the understanding of natural language te...
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11/11/2017
Commonsense LocatedNear Relation Extraction
LocatedNear relation describes two typically co-located objects, which i...
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07/07/2017
InferSpark: Statistical Inference at Scale
The Apache Spark stack has enabled fast large-scale data processing. Des...
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11/09/2012
