no code implementations • 23 May 2022 • Zhiling Zhang, Siyuan Chen, Mengyue Wu, Kenny Q. Zhu
Mental disease detection (MDD) from social media has suffered from poor generalizability and interpretability, due to lack of symptom modeling.
no code implementations • 21 May 2022 • Kaijian Li, Shansan Gong, Kenny Q. Zhu
Natural Language Inference Generation task is to generate a text hypothesis given a text premise and a logical relation between the two.
1 code implementation • 19 May 2022 • Zhiling Zhang, Siyuan Chen, Mengyue Wu, Kenny Q. Zhu
Depression is a prominent health challenge to the world, and early risk detection (ERD) of depression from online posts can be a promising technique for combating the threat.
1 code implementation • 12 May 2022 • Shansan Gong, Kenny Q. Zhu
News recommendation for anonymous readers is a useful but challenging task for many news portals, where interactions between readers and articles are limited within a temporary login session.
1 code implementation • 29 Apr 2022 • Siyu Ren, Kenny Q. Zhu
Current text-image approaches (e. g., CLIP) typically adopt dual-encoder architecture us- ing pre-trained vision-language representation.
1 code implementation • 28 Apr 2022 • Qi Jia, Yizhu Liu, Haifeng Tang, Kenny Q. Zhu
Previous dialogue summarization techniques adapt large language models pretrained on the narrative text by injecting dialogue-specific features into the models.
no code implementations • 25 Jan 2022 • Shijia Guo, Kenny Q. Zhu
Informational bias is widely present in news articles.
1 code implementation • 10 Oct 2021 • Zelin Zhou, Zhiling Zhang, Xuenan Xu, Zeyu Xie, Mengyue Wu, Kenny Q. Zhu
Current metrics are found in poor correlation with human annotations on these datasets.
1 code implementation • 21 Apr 2021 • Zhiling Zhang, Kenny Q. Zhu
Due to the variety of possible user backgrounds and use cases, the information need can be quite diverse but also specific to a detailed topic, while previous works assume generating one CQ per context and the results tend to be generic.
no code implementations • 9 Feb 2021 • Shanshan Huang, Kenny Q. Zhu
Recent work has indicated that many natural language understanding and reasoning datasets contain statistical cues that may be taken advantaged of by NLP models whose capability may thus be grossly overestimated.
1 code implementation • 4 Dec 2020 • Qi Jia, Hongru Huang, Kenny Q. Zhu
In this paper, we propose the task of relation classification of interlocutors based on their dialogues.
Ranked #1 on
Dialog Relation Extraction
on DDRel
1 code implementation • EMNLP 2020 • Qi Jia, Yizhu Liu, Siyu Ren, Kenny Q. Zhu, Haifeng Tang
In this paper, we propose a dialogue extraction algorithm to transform a dialogue history into threads based on their dependency relations.
1 code implementation • 19 May 2020 • Qi Jia, Mengxue Zhang, Shengyao Zhang, Kenny Q. Zhu
Matching question-answer relations between two turns in conversations is not only the first step in analyzing dialogue structures, but also valuable for training dialogue systems.
no code implementations • 26 Apr 2020 • Xiaoqing Geng, Xiwen Chen, Kenny Q. Zhu, Libin Shen, Yinggong Zhao
In this framework, models not only strive to classify query instances, but also seek underlying knowledge about the support instances to obtain better instance representations.
no code implementations • 24 Apr 2020 • Xiwen Chen, Kenny Q. Zhu
Text style transfer aims to paraphrase a sentence in one style into another style while preserving content.
no code implementations • 21 Apr 2020 • Siyu Ren, Kenny Q. Zhu
In this paper, we propose a novel configurable framework to automatically generate distractive choices for open-domain cloze-style multiple-choice questions, which incorporates a general-purpose knowledge base to effectively create a small distractor candidate set, and a feature-rich learning-to-rank model to select distractors that are both plausible and reliable.
no code implementations • 3 Apr 2020 • Wenjing Fang, Jun Zhou, Xiaolong Li, Kenny Q. Zhu
Besides the commonly used feature importance as a global interpretation, feature contribution is a local measure that reveals the relationship between a specific instance and the related output.
no code implementations • 30 Mar 2020 • Xusheng Luo, Luxin Liu, Yonghua Yang, Le Bo, Yuanpeng Cao, Jinhang Wu, Qiang Li, Keping Yang, Kenny Q. Zhu
However, user needs in e-commerce are still not well defined, and none of the existing ontologies has the enough depth and breadth for universal user needs understanding.
no code implementations • 27 Feb 2020 • Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu
Secure online transaction is an essential task for e-commerce platforms.
1 code implementation • IJCNLP 2019 • Zuyi Bao, Rui Huang, Chen Li, Kenny Q. Zhu
Previous work on cross-lingual sequence labeling tasks either requires parallel data or bridges the two languages through word-byword matching.
1 code implementation • 8 Oct 2019 • Xusheng Luo, Yonghua Yang, Kenny Q. Zhu, Yu Gong, Keping Yang
Understanding latent user needs beneath shopping behaviors is critical to e-commercial applications.
1 code implementation • 17 May 2019 • Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu
This paper targets to a novel but practical recommendation problem named exact-K recommendation.
no code implementations • 21 Aug 2018 • Yuding Liang, Kenny Q. Zhu
We propose a framework to automatically generate descriptive comments for source code blocks.
1 code implementation • 30 Mar 2018 • Yu Gong, Xusheng Luo, Kenny Q. Zhu, Wenwu Ou, Zhao Li, Lu Duan
This paper studies the problem of automatically extracting a short title from a manually written longer description of E-commerce products for display on mobile devices.
1 code implementation • 30 Mar 2018 • Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen
Slot filling is a critical task in natural language understanding (NLU) for dialog systems.
no code implementations • 2 Mar 2018 • Yu Gong, Kaiqi Zhao, Kenny Q. Zhu
Verbs play an important role in the understanding of natural language text.
1 code implementation • ACL 2018 • Frank F. Xu, Bill Yuchen Lin, Kenny Q. Zhu
LocatedNear relation is a kind of commonsense knowledge describing two physical objects that are typically found near each other in real life.
no code implementations • COLING 2016 • Shi Feng, Shujie Liu, Nan Yang, Mu Li, Ming Zhou, Kenny Q. Zhu
In neural machine translation, the attention mechanism facilitates the translation process by producing a soft alignment between the source sentence and the target sentence.
no code implementations • TACL 2013 • Hongsong Li, Kenny Q. Zhu, Haixun Wang
Recognizing metaphors and identifying the source-target mappings is an important task as metaphorical text poses a big challenge for machine reading.