A study on the relation between linguistics-oriented and domain-specific semantics
Linköpings universitet（林雪平大学）
He Tan
备注：
in Adrian Paschke, Albert Burger, Andrea Splendiani, M. Scott Marshall, Paolo Romano: Proceedings of the 3rd International Workshop on Semantic Web Applications and Tools for the Life Sciences, Berlin,Germany, December 8-10, 2010
In this paper we dealt with the comparison and linking between lexical resources with domain knowledge provided by ontologies. It is one of the issues for the combination of the Semantic Web Ontologies and Text Mining. We investigated the relations between the linguistics oriented and domain-specific semantics, by associating the GO biological process concepts to the FrameNet semantic frames. The result shows the gaps between the linguistics-oriented and domain-specific semantics on the classification of events and the grouping of target words. The result provides valuable information for the improvement of domain ontologies supporting for text mining systems. And also, it will result in benefits to language understanding technology.
Cross-linguistic disagreement as a conflict of semantic alignment norms in multilingual AI~Linguistic Diversity as a Problem for Philosophy, Cognitive Science, and AI~
Japan Advanced Institute of Science and Technology（日本先进科学技术学院）；Victoria University of Wellington（惠灵顿维多利亚大学）；Macquarie University（麦考瑞大学）；Nanzan University（南山大学）；Kyoto University（京都大学）
Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity
McGovern Institute for Brain Research, MIT（麻省理工学院麦戈文脑科学研究所）；University of Liverpool（利物浦大学）；Facebook Conversational AI（Facebook 对话人工智能部门）；Data Science Institute, Columbia University（哥伦比亚大学数据科学研究所）
The Sword, Shield, and Achilles' Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation Planning
East China Normal University（东华大学）；Information Engineering University（信息工程大学）；Zhengzhou University（郑州大学）
Improving Semantic Parsing for Task Oriented Dialog
Facebook Conversational AI（Facebook对话式AI）；Stanford University（斯坦福大学）；Facebook AI Research（Facebook人工智能研究）
最近提出了使用分层表示的语义解析，用于面向任务的对话，结果很有希望[Gupta et al 2018]。在本文中，我们提出了三种不同的改进模型：上下文嵌入，集成，和成对重新排名的基础上的语言模型。我们分类的错误可能的分层表示，如错误的顶部意图，缺失的跨度或分裂跨度，并表明这三种方法纠正不同类型的错误。最好的模型结合了这三种技术，精确匹配精度比最先进的模型高出6.4%，错误减少了33%，从而在面向任务的解析（TOP）数据集上产生了新的最先进的结果。
Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text Retrieval
College of Science, Zhejiang University of Technology（浙江工业大学理学院）；College of Computer Science and Technology, Zhejiang University of Technology（浙江工业大学计算机科学与技术学院）
Comprehending the rich semantics in an image and ordering them in linguistic order are essential to compose a visually-grounded and linguistically coherent description for image captioning. Modern techniques commonly capitalize on a pre-trained object detector/classifier to mine the semantics in an image, while leaving the inherent linguistic ordering of semantics under-exploited. In this paper, we propose a new recipe of Transformer-style structure, namely Comprehending and Ordering Semantics Networks (COS-Net), that novelly unifies an enriched semantic comprehending and a learnable semantic …
University Ferhat Abbes Setif 1（费哈特·阿巴斯·塞蒂夫1大学）；Badji Mokhtar University（巴吉·穆克塔尔大学）
in this paper, we present a corpus linguistics based approach applied to analyzing digitized classical multilingual novels and narrative texts, from a semantic point of view. Digitized novels such as "the hobbit (Tolkien J. R. R., 1937)" and "the hound of the Baskervilles (Doyle A. C. 1901-1902)", which were widely translated to dozens of languages, provide rich materials for analyzing languages differences from several perspectives and within a number of disciplines like linguistics, philosophy and cognitive science. Taking motion events conceptualization as a case study, this paper, focus on…
Towards Linguistically-informed Representations for English as a Second or Foreign Language: Review, Construction and Application
School of the Chinese Nation Studies（中华民族学院）；School of Liberal Arts, Minzu University of China（中央民族大学文学院）；Department of Chinese Language and Literature, Peking University（北京大学中国语言文学系）；Department of Computer Science and Technology, University of Cambridge（剑桥大学计算机科学与技术系）
Noah’s Ark Lab, Huawei Technologies（华为技术有限公司诺亚方舟实验室）；Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院）
Recently, semantic parsing using hierarchical representations for dialog systems has captured substantial attention. Task-Oriented Parse (TOP), a tree representation with intents and slots as labels of nested tree nodes, has been proposed for parsing user utterances. Previous TOP parsing methods are limited on tackling unseen dynamic slot values (e.g., new songs and locations added), which is an urgent matter for real dialog systems. To mitigate this issue, we first propose a novel span-splitting representation for span-based parser that outperforms existing methods. Then we present a novel le…
Google Research（谷歌研究院）；The Ohio State University（俄亥俄州立大学）
The dominant paradigm for semantic parsing in recent years is to formulate parsing as a sequence-to-sequence task, generating predictions with auto-regressive sequence decoders. In this work, we explore an alternative paradigm. We formulate semantic parsing as a dependency parsing task, applying graph-based decoding techniques developed for syntactic parsing. We compare various decoding techniques given the same pre-trained Transformer encoder on the TOP dataset, including settings where training data is limited or contains only partially-annotated examples. We find that our graph-based approa…
There is growing evidence that the classical notion of adversarial robustness originally introduced for images has been adopted as a de facto standard by a large part of the NLP research community. We show that this notion is problematic in the context of NLP as it considers a narrow spectrum of linguistic phenomena. In this paper, we argue for semantic robustness, which is better aligned with the human concept of linguistic fidelity. We characterize semantic robustness in terms of biases that it is expected to induce in a model. We study semantic robustness of a range of vanilla and robustly …
Imperial College London（帝国理工学院）；Tsinghua University（清华大学）；Amazon（亚马逊）；Virginia Tech（弗吉尼亚理工学院）；Zhejiang Lab（之江实验室）；Zhejiang University（浙江大学）；The Ohio State University（俄亥俄州立大学）；University College London（伦敦大学学院）；Yonsei University（延世大学）
Communication systems to date primarily aim at reliably communicating bit sequences. Such an approach provides efficient engineering designs that are agnostic to the meanings of the messages or to the goal that the message exchange aims to achieve. Next generation systems, however, can be potentially enriched by folding message semantics and goals of communication into their design. Further, these systems can be made cognizant of the context in which communication exchange takes place, providing avenues for novel design insights. This tutorial summarizes the efforts to date, starting from its …
