Papers by JinJun Xiong
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space (D19-1)
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| Challenge: | Existing approaches to reviewer-paper matching are less effective to deal with the vocabulary mismatch and partial topic overlap between the submission and reviewer. |
| Approach: | They propose to combine the common topic model and abstract topic vectors to model the topics common to the submission and the reviewer's profile while relying on abstract topic vectors. |
| Outcome: | The proposed model improves on the existing model on two datasets. |
A Multi-Perspective Architecture for Semantic Code Search (2020.acl-main)
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| Challenge: | Existing models do not model interactions between code and description until the final step when their global similarity is calculated. |
| Approach: | They propose a multi-perspective cross-lingual neural framework for code–text matching that captures both global and local similarities. |
| Outcome: | The proposed model performs better on the CoNaLa dataset than previous approaches that map code and text to a single joint embedding space. |
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus (N19-1)
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| Challenge: | Existing methods for text style transfer have demonstrated considerable success, but a parallel corpus may not always be available for a transfer task. |
| Approach: | They propose a text style transfer model that uses an attention-based encoder-decoder to transfer a sentence from the source style to the target style. |
| Outcome: | The proposed model outperforms state-of-the-art methods on two different style transfer tasks. |
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method (D19-53)
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| Challenge: | faceted concept hierarchy is a structure of parent-child relationships . concepts are expected to be organized in a hierarchical structure for student learning . |
| Approach: | They propose a faceted concept hierarchy that aims to build facets from scientific literature. |
| Outcome: | The proposed hierarchy is more complete than "type-of" relations, and resolves conflicts by maintaining the acyclic structure of a hierarchy. |
Document Similarity for Texts of Varying Lengths via Hidden Topics (P18-1)
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| Challenge: | Existing approaches to measure document similarity are inadequate for document pairs with non-comparable lengths, such as a long document and its summary. |
| Approach: | They propose a document matching approach to bridge the gap between long documents and their abstract information in a common space of hidden topics. |
| Outcome: | The proposed approach outperforms strong baselines on two matching tasks and incorporates domain knowledge to gain further performance improvement. |
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach (2021.acl-long)
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| Challenge: | Existing methods to measure fine-grained domain relevance are needed for downstream tasks in natural language processing. |
| Approach: | They propose to measure fine-grained domain relevance, defined as the degree that a term is relevant to a given domain. |
| Outcome: | The proposed method outperforms baselines and surpasses professional human performance. |
Exploring Semantic Capacity of Terms (2020.emnlp-main)
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| Challenge: | Existing models that measure semantic capacity of terms are not all considered equal . a good command of semantic capacity will give us more insight into the granularity of terms . |
| Approach: | They propose a model that evaluates semantic capacity of terms if text corpus can provide enough co-occurrence information of terms. |
| Outcome: | The proposed model can evaluate semantic capacity of terms if the corpus can provide enough co-occurrence information of terms. |