[PDF] Top 20 A Joint Model for Quotation Attribution and Coreference Resolution
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A Joint Model for Quotation Attribution and Coreference Resolution
... of quotation attribution sys- tems were designed at mention level, and are thus assessed by comparing the predicted speaker men- tion span with the gold ... See full document
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Revisiting Joint Modeling of Cross document Entity and Event Coreference Resolution
... entity coreference, with rather lit- tle attention to the other ...coreference resolution. Inspired by Lee et al. (2012), we jointly model entity and event ...Our model outperforms the ... See full document
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Joint Determination of Anaphoricity and Coreference Resolution using Integer Programming
... to model anaphoricity determination and coreference resolution as a joint task, wherein the decisions made by each locally trained model are mutually ...ILP model proceeds in two ... See full document
8
Joint Learning for Event Coreference Resolution
... mention-ranking model we employ for event coreference also allows an event mention to be posited as non-anaphoric (by resolving it to a null candidate antecedent), our decision to train a sep- arate ... See full document
12
Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron
... pipelined model that divides the event trigger decoding and event coreference de- coding in Algorithm 1 into two separate ...the joint model by focusing only on the architectural ...erence ... See full document
7
Joint Coreference Resolution and Named Entity Linking with Multi Pass Sieves
... improve coreference resolution, but did not con- sider a joint ...mention-pair model, but did not do mention ...and joint modeling in particular, since it outperforms the ... See full document
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Joint Unsupervised Coreference Resolution with Markov Logic
... for joint unsu- pervised coreference resolution. Our model deviates from Haghighi & Klein’s (2007) in several impor- tant ...not model saliences for proper nouns or nominals, as ... See full document
10
Joint Learning for Coreference Resolution with Markov Logic
... the joint learning model (MLN-Joint(BF) or MLN-Joint(Trans)) significantly outperforms inde- pendent learning model (MLN-Local+BF or MLN- Local+Trans) no matter whether best-first ... See full document
10
Joint Entity and Event Coreference Resolution across Documents
... In this stage (steps 7 – 9 in Algorithm 1), we con- struct entity and event clusters using a cautious or “baby steps” approach. We use a single linear re- gressor (Θ) to model cluster merge operations be- tween ... See full document
12
A Joint Framework for Coreference Resolution and Mention Head Detection
... described in Chang et al. (2013) in our experiments. The task of mention detection is closely related to Named Entity Recognition (NER). Punyakanok and Roth (2001) thoroughly study phrase identifica- tion in sentences ... See full document
10
Unsupervised Ranking Model for Entity Coreference Resolution
... Bayesian model for un- supervised coreference ...this model, Ng (2008) probabilistically induced corefer- ence partitions via EM ...entity-mention model that is able to perform joint ... See full document
7
Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures
... recent joint learning approach (Lu and Ng, 2017) which is the best per- forming model on the KBP 2016 ...augmented model achieved superior performance compared to the local classifier based ... See full document
11
A Constrained Latent Variable Model for Coreference Resolution
... Left-Linking Model (L 3 M), and a version of that is augmented with domain knowledge-based constraints, the Con- strained Latent Left-Linking Model (CL 3 ...this model with a temperature-like pa- ... See full document
12
Joint Inference for Event Coreference Resolution
... A major obstacle to the successful application of MLNs to NLP tasks is the high computational complexity of probabilistic inference and learning algorithms. The MLNs used in NLP are so large that even linear time ... See full document
12
End to end Deep Reinforcement Learning Based Coreference Resolution
... To avoid the cascading errors of pipeline sys- tems, recent NLP researchers have developed end- to-end approaches (Lee et al., 2017; Luan et al., 2018; Lee et al., 2018; Zhang et al., 2018), which directly consider all ... See full document
6
Coreference Resolution in a Modular, Entity Centered Model
... our model, despite being largely unsupervised, consistently out- performs these systems, which are the best previ- ously reported results on end-to-end coreference res- olution ... See full document
9
Coreference Resolution with Reconcile
... end coreference resolution system. Coreference resolution is a complex problem, and successful systems must tackle a variety of non-trivial sub- problems that are central to the ... See full document
6
Search Space Pruning: A Simple Solution for Better Coreference Resolvers
... cency, focus (Grosz and Sidner, 1986), and center- ing (Brennan et al., 1987) are examples of useful linguistic features for coreference resolution which have the additional benefit of being applicable to ... See full document
7
Adapting an Entity Centric Model for Portuguese Coreference Resolution
... Coreference resolution is a well known challenge in computational ...a coreference an- notated corpus for English, Chinese and Arabic has around ...34.290 coreference chains, a corpus with ... See full document
5
A Joint Model for Entity Analysis: Coreference, Typing, and Linking
... additional coreference links. Zheng et al. (2013) build coreference clusters greed- ily left-to-right and maintain entity link information for each cluster, namely a list of possible targets in the ... See full document
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