The proceedings contain 13 papers. The topics discussed include: structured databases of named entities from Bayesian nonparametrics;unsupervised cross-lingual lexical substitution;reducing the size of the representat...
ISBN:
(纸本)1937284131
The proceedings contain 13 papers. The topics discussed include: structured databases of named entities from Bayesian nonparametrics;unsupervised cross-lingual lexical substitution;reducing the size of the representation for the uDOP-estimate;evaluating unsupervised learning for naturallanguageprocessing tasks;unsupervised language-independent name translation mining from Wikipedia infoboxes;twitter polarity classification with label propagation over lexical links and the follower graph;unsupervised concept annotation using latent Dirichlet allocation and segmental methods;and unsupervised alignment for segmental-based language understanding.
The proceedings contain 29 papers. The topics discussed include: SyntaViz: visualizing voice queries through a syntax-driven hierarchical ontology;TRANX: a transition-based neural abstract syntax parser for semantic p...
ISBN:
(纸本)9781948087858
The proceedings contain 29 papers. The topics discussed include: SyntaViz: visualizing voice queries through a syntax-driven hierarchical ontology;TRANX: a transition-based neural abstract syntax parser for semantic parsing and code generation;Data2TextStudio: automated text generation from structured data;MorAz: an open-source morphological analyzer for Azerbaijani Turkish;an interactive web-interface for visualizing the inner workings of the question answering LSTM;and visual interrogation of attention-based models for naturallanguage inference and machine comprehension.
The proceedings contain 1003 papers. The topics discussed include: are LLMs good annotators for discourse-level event relation extraction?;transferability of syntax-aware graph neural networks in zero-shot cross-lingu...
ISBN:
(纸本)9798891761681
The proceedings contain 1003 papers. The topics discussed include: are LLMs good annotators for discourse-level event relation extraction?;transferability of syntax-aware graph neural networks in zero-shot cross-lingual semantic role labeling;should cross-lingual AMR parsing go meta? an empirical assessment of meta-learning and joint learning AMR parsing;general collaborative framework between large language model and experts for universal information extraction;SEAVER: attention reallocation for mitigating distractions in language models for conditional semantic textual similarity measurement;search if you don’t know! knowledge-augmented Korean grammatical error correction with large language models;and InsertGNN: a hierarchical graph neural network for the TOEFL sentence insertion problem.
The proceedings contain 44 papers. The topics discussed include: ABSApp: a portable weakly-supervised aspect-based sentiment extraction system;AllenNLP interpret: a framework for explaining predictions of NLP models;A...
ISBN:
(纸本)9781950737925
The proceedings contain 44 papers. The topics discussed include: ABSApp: a portable weakly-supervised aspect-based sentiment extraction system;AllenNLP interpret: a framework for explaining predictions of NLP models;ALTER: auxiliary text rewriting tool for naturallanguage generation;automatic taxonomy induction and expansion;chameleon: a language model adaptation toolkit for automatic speech recognition of conversational speech;controlling sequence-to-sequence models - a demonstration on neural-based acrostic generator;FAMULUS: interactive annotation and feedback generation for teaching diagnostic reasoning;IFlyLegal: a Chinese legal system for consultation, law searching, and document analysis;and journalist-in-the-loop: continuous learning as a service for rumor analysis.
The proceedings contain 13 papers. The topics discussed include: span-based constituency parsing with a structure-label system and provably optimal dynamic oracles;rule extraction for tree-to-tree transducers by cost ...
ISBN:
(纸本)9781945626326
The proceedings contain 13 papers. The topics discussed include: span-based constituency parsing with a structure-label system and provably optimal dynamic oracles;rule extraction for tree-to-tree transducers by cost minimization;a neural network for coordination boundary prediction;using left-corner parsing to encode universal structural constraints in grammar induction;distinguishing past, on-going, and future events: the EventStatus corpus;a position encoding convolutional neural network based on dependency tree for relation classification;and comparing computational cognitive models of generalization in a language acquisition task.
The proceedings contain 22 papers. The topics discussed include: a linear observed time statistical parser based on maximum entropy models;global thresholding and multiple-pass parsing;an efficient distribution of lab...
The proceedings contain 22 papers. The topics discussed include: a linear observed time statistical parser based on maximum entropy models;global thresholding and multiple-pass parsing;an efficient distribution of labor in a two stage robust interpretation process;text segmentation using exponential models;detecting subject boundaries within text: a language independent statistical approach;mistake-driven learning in text categorization;tagging grammatical functions;on aligning trees;and aggregate and mixed-order Markov models for statistical languageprocessing.
The proceedings contain 42 papers. The topics discussed include: MISS: an assistant for multi-style simultaneous translation;automatic construction of enterprise knowledge base;LightTag: text annotation platform;Trans...
ISBN:
(纸本)9781955917117
The proceedings contain 42 papers. The topics discussed include: MISS: an assistant for multi-style simultaneous translation;automatic construction of enterprise knowledge base;LightTag: text annotation platform;Transins: document translation with markup reinsertion;ET: a workstation for querying, editing and evaluating annotated corpora;N-LTP: an open-source neural language technology platform for Chinese;COMBO: state-of-the-art morphosyntactic analysis;ExcavatorCovid: extracting events and relations from text corpora for temporal and causal analysis for COVID-19;and KOAS: Korean text offensiveness analysis system.
The proceedings contain 8 papers. The topics discussed include: dependency parsing with dilated iterated graph CNNs;entity identification as multitasking;towards neural machine translation with latent tree attention;s...
ISBN:
(纸本)9781945626937
The proceedings contain 8 papers. The topics discussed include: dependency parsing with dilated iterated graph CNNs;entity identification as multitasking;towards neural machine translation with latent tree attention;structured prediction via learning to search under bandit feedback;syntax aware LSTM model for semantic role labeling;spatial language understanding with multimodal graphs using declarative learning based programming;boosting information extraction systems with character-level neural networks and free noisy supervision;and piecewise latent variables for neural variational text processing.
The proceedings contain 549 papers. The topics discussed include: privacy-preserving neural representations of text;adversarial removal of demographic attributes from text data;DeClarE: debunking fake news and false c...
ISBN:
(纸本)9781948087841
The proceedings contain 549 papers. The topics discussed include: privacy-preserving neural representations of text;adversarial removal of demographic attributes from text data;DeClarE: debunking fake news and false claims using evidence-aware deep learning;it’s going to be okay: measuring access to support in online communities;detecting gang-involved escalation on social media using context;and reasoning about action sand state changes by injecting common sense knowledge.
The proceedings contain 16 papers. The topics discussed include: visually-verifiable textual entailment: a challenge task for combining language and vision;computational integration of human vision and natural languag...
ISBN:
(纸本)9781941643327
The proceedings contain 16 papers. The topics discussed include: visually-verifiable textual entailment: a challenge task for combining language and vision;computational integration of human vision and naturallanguage through bitext alignment;towards reliable automatic multimodal content analysis;linguistic analysis of multi-modal recurrent neural networks;defining visually descriptive language;semantic tuples for evaluation of image to sentence generation;and image representations and new domains in neural image captioning.
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