ClausIE: clause-based open information extraction

By Luciano Del Corro, Rainer Gemulla. The Web Conference, 2013

556 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/406f6caa0b091cd9305d69b58e075765728b3802

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In Artificial Intelligence

Citations in the corpus

DeepStruct: Pretraining of Language Models for Structure Prediction (2022, methodology): “Comparison Methods We compare our method D EEP S TRUCT to the following OIE systems presented in (Stanovsky et al., 2018): (i) ClausIE (Corro and Gemulla, 2013): which leverages linguistic and grammatical knowledge to split clauses in a sentence and identify their roles, (ii) OpenIE 4 3 : which…”
Continual Relation Learning via Episodic Memory Activation and Reconsolidation (2020, unknown): “…have been many efforts for open relation learning, including pattern extraction (Banko et al., 2007; Fader et al., 2011; Mausam et al., 2012; Del Corro and Gemulla, 2013; Angeli et al., 2015; Petroni et al., 2015; Stanovsky and Da-gan, 2016; Mausam, 2016; Cui et al., 2018), relation discovery…”
A dataset for Movie Description (2015, methodology): “We use the ClausIE tool [18] to decompose sentences into their respective clauses.”
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction (2020, background): “…(1) Open information extraction (Open IE) , as shown in Figure 8, extracts relation phrases and arguments (entities) from text (Banko et al., 2007; Fader et al., 2011; Mausam et al., 2012; Del Corro and Gemulla, 2013; Angeli et al., 2015; Stanovsky and Dagan, 2016; Mausam, 2016; Cui et al., 2018).”
Prototypical Representation Learning for Relation Extraction (2021, unknown): “Further efforts pay attention to learning relations from the text in various speciﬁc scenarios, such as zero-few-shot scenarios (Levy et al., 2017; Han et al., 2018b; Gao et al., 2019; Soares et al., 2019; Ye & Ling, 2019) and open-domain scenarios (Banko et al., 2007; Fader et al., 2011; Mausam et ”
Understandable Big Data: A survey (2015, background): “About n-ary relations extraction, [65,66] are very rel-”
Movie Description (2016, methodology): “We use the ClausIE tool (Del Corro and Gemulla 2013) to decompose sentences into their respective clauses.”
Supervised Open Information Extraction (2018, methodology): “ReVerb (Fader et al., 2011) extracts Open IE propositions from part of speech tags, OLLIE (Mausam et al., 2012), ClausIE (Del Corro and Gemulla, 2013) and PropS (Stanovsky et al., 2016) post-process dependency trees, and Open IE4 2 extracts tuples from Semantic Role Labeling (SRL) structures.”
Facts2Story: Controlling Text Generation by Key Facts (2020, background): “Del Corro and Gemulla (2013) developed ClauseIE, an Open Information Extraction framework that leverages knowledge about English grammar to deal with the complex structures of sentences, ﬁnding multiple clause candidates in an input sentence and generating relevant synthetic clauses by recognizing…”
Language-Aware Truth Assessment of Fact Candidates (2014, background): “This is similar to the goal of fact extraction (Banko et al., 2007; Carlson et al., 2010; Fader et al., 2011; Nakashole et al., 2011; Del Corro and Gemulla, 2013).”
Neural Open Information Extraction (2018, methodology): “We compared with several state-of-the-art baselines including O LLIE , ClausIE, Stanford O PEN IE, PropS and O PEN IE4.”