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4,678 research outcomes, page 1 of 468
  • publication . Preprint . Conference object . 2021
    Open Access English
    Authors:
    Parag Pravin Dakle; Dan Moldovan;
    Persistent Identifiers

    We present the first large scale corpus for entity resolution in email conversations (CEREC). The corpus consists of 6001 email threads from the Enron Email Corpus containing 36,448 email messages and 38,996 entity coreference chains. The annotation is carried out as a ...

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  • publication . Conference object . Book . Preprint . 2021
    Open Access English
    Authors:
    Pražák, Ondřej; Přibáň, Pavel; Taylor, Stephen;
    Publisher: CEUR Workshop Proceedings

    Článek popisuje naší metodu pro určení změny sémantiky slov v čase (Lexical Semantic Change Detection) pro soutěž DIACR-Ita, kde jsme skončili na prvním místě. Naše metoda využívá učení bez učitele a je nezávislá na jazyce. skládá se z několika kroků: Vytvoření vektorov...

  • publication . Conference object . Preprint . 2021
    Open Access
    Authors:
    Wen Wang; Andreas Stolcke; Jing Zheng;
    Persistent Identifiers
    Publisher: IEEE

    In this paper, we investigate the use of linguistically motivated and computationally efficient structured language models for reranking N-best hypotheses in a statistical machine translation system. These language models, developed from Constraint Dependency Grammar pa...

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  • publication . Conference object . Preprint . Part of book or chapter of book . 2021
    Open Access English
    Authors:
    Jannik Fischbach; Julian Frattini; Arjen Spaans; Maximilian Kummeth; Andreas Vogelsang; Daniel Mendez; Michael Unterkalmsteiner;
    Persistent Identifiers
    Publisher: Blekinge Tekniska Högskola, Institutionen för programvaruteknik

    [Context & motivation:] System behavior is often expressed by causal relations in requirements (e.g., If event 1, then event 2). Automatically extracting this embedded causal knowledge supports not only reasoning about requirements dependencies, but also various...

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  • publication . Preprint . Conference object . 2021
    Open Access English
    Authors:
    Rui Cao; Roy Ka-Wei Lee; Tuan-Anh Hoang;
    Persistent Identifiers

    Comment: Paper Accepted for 12th International ACM Conference on Web Science

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  • publication . Preprint . Conference object . 2021
    Open Access English
    Authors:
    Junheng Hao; Muhao Chen; Wenchao Yu; Yizhou Sun; Wei Wang;
    Persistent Identifiers
    Project: NSF | III: Medium: Collaborativ... (1705169), NSF | NRT-HDR: Modeling and Und... (1829071), NSF | CAREER: Mining and Explor... (1741634), NIH | Mining the Social Web to ... (5U01HG008488-02), NIH | Fast and Robust Methods f... (5R01GM115833-02)

    Many large-scale knowledge bases simultaneously represent two views of knowledge graphs (KGs): an ontology view for abstract and commonsense concepts, and an instance view for specific entities that are instantiated from ontological concepts. Existing KG embedding model...

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  • publication . Preprint . Conference object . 2021
    Open Access English
    Authors:
    Vitaly Romanov; Albina Khusainova;
    Persistent Identifiers

    A number of morphology-based word embedding models were introduced in recent years. However, their evaluation was mostly limited to English, which is known to be a morphologically simple language. In this paper, we explore whether and to what extent incorporating morpho...

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  • publication . Conference object . Preprint . 2021
    Open Access English
    Authors:
    Fischbach, Jannik; Frattini, Julian; Vogelsang, Andreas;
    Publisher: Blekinge Tekniska Högskola, Institutionen för programvaruteknik

    Requirements often specify the expected system behavior by using causal relations (e.g., If A, then B). Automatically extracting these relations supports, among others, two prominent RE use cases: Automatic test case derivation and dependency detection between requireme...

  • publication . Preprint . Conference object . 2021
    Open Access English
    Authors:
    Alexander Sutherland; Sven Magg; Stefan Wermter;
    Persistent Identifiers
    Project: EC | SOCRATES (721619)

    Explaining the outcome of deep learning decisions based on affect is challenging but necessary if we expect social companion robots to interact with users on an emotional level. In this paper, we present a commonsense approach that utilizes an interpretable hybrid neura...

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  • publication . Preprint . Conference object . 2021
    Open Access English
    Authors:
    Jialong Tang; Yaojie Lu; Hongyu Lin; Xianpei Han; Le Sun; Xinyan Xiao; Hua Wu;
    Persistent Identifiers

    Comment: 11 pages

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4,678 research outcomes, page 1 of 468