Search Results for author: Owen Rambow

Found 81 papers, 7 papers with code

KOJAK: A New Corpus for Studying German Discourse Particle ja

no code implementations COLING (CODI, CRAC) 2022 Adil Soubki, Owen Rambow, Chong Kang

In German, ja can be used as a discourse particle to indicate that a proposition, according to the speaker, is believed by both the speaker and audience.

Finite-state Model of Shupamem Reduplication

no code implementations ACL (SIGMORPHON) 2021 Magdalena Markowska, Jeffrey Heinz, Owen Rambow

Shupamem, a language of Western Cameroon, is a tonal language which also exhibits the morpho-phonological process of full reduplication.

Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations

1 code implementation2 Nov 2023 Magdalena Markowska, Mohammad Taghizadeh, Adil Soubki, Seyed Abolghasem Mirroshandel, Owen Rambow

An important part of cognitive state is the common ground, which is the content the speaker believes, and the speaker believes the audience believes, and so on.

NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly

1 code implementation16 Oct 2022 Yi R. Fung, Tuhin Chakraborty, Hao Guo, Owen Rambow, Smaranda Muresan, Heng Ji

Norm discovery is important for understanding and reasoning about the acceptable behaviors and potential violations in human communication and interactions.

Cultural Vocal Bursts Intensity Prediction Hallucination +1

From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains

1 code implementation Findings (ACL) 2022 Brodie Mather, Bonnie J Dorr, Adam Dalton, William de Beaumont, Owen Rambow, Sonja M. Schmer-Galunder

We develop a ground truth (GT) based on expert annotators and compare our concern detection output to GT, to yield 231% improvement in recall over baseline, with only a 10% loss in precision.

Semantic Similarity Semantic Textual Similarity

Email Classification Incorporating Social Networks and Thread Structure

no code implementations LREC 2020 Sakhar Alkhereyf, Owen Rambow

The experimental results reveal that incorporating social network information improves over the performance of an approach based on textual information only.

Classification Document Classification +2

Syntax-aware Neural Semantic Role Labeling with Supertags

1 code implementation NAACL 2019 Jungo Kasai, Dan Friedman, Robert Frank, Dragomir Radev, Owen Rambow

We introduce a new syntax-aware model for dependency-based semantic role labeling that outperforms syntax-agnostic models for English and Spanish.

Semantic Role Labeling TAG

Automatically Tailoring Unsupervised Morphological Segmentation to the Language

no code implementations WS 2018 Esk, Ramy er, Owen Rambow, Smar Muresan, a

Morphological segmentation is beneficial for several natural language processing tasks dealing with large vocabularies.

Machine Translation Segmentation +1

Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions

no code implementations NAACL 2018 Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow

Understanding how social power structures affect the way we interact with one another is of great interest to social scientists who want to answer fundamental questions about human behavior, as well as to computer scientists who want to build automatic methods to infer the social contexts of interactions.

Attribute

End-to-end Graph-based TAG Parsing with Neural Networks

1 code implementation NAACL 2018 Jungo Kasai, Robert Frank, Pauli Xu, William Merrill, Owen Rambow

We present a graph-based Tree Adjoining Grammar (TAG) parser that uses BiLSTMs, highway connections, and character-level CNNs.

POS POS Tagging +1

TAG Parsing with Neural Networks and Vector Representations of Supertags

no code implementations EMNLP 2017 Jungo Kasai, Bob Frank, Tom McCoy, Owen Rambow, Alexis Nasr

We present supertagging-based models for Tree Adjoining Grammar parsing that use neural network architectures and dense vector representation of supertags (elementary trees) to achieve state-of-the-art performance in unlabeled and labeled attachment scores.

Sentence TAG

Leveraging Sparse and Dense Feature Combinations for Sentiment Classification

no code implementations13 Aug 2017 Tao Yu, Christopher Hidey, Owen Rambow, Kathleen McKeown

This model outperforms many deep learning models and achieves comparable results to other deep learning models with complex architectures on sentiment analysis datasets.

BIG-bench Machine Learning Classification +3

Dialog Structure Through the Lens of Gender, Gender Environment, and Power

no code implementations12 Jun 2017 Vinodkumar Prabhakaran, Owen Rambow

In this paper, we study the interaction of power, gender, and dialog behavior in organizational interactions.

Incrementally Learning a Dependency Parser to Support Language Documentation in Field Linguistics

no code implementations COLING 2016 Morgan Ulinski, Julia Hirschberg, Owen Rambow

We have created a new parallel corpus of descriptions of spatial relations and motion events, based on pictures and video clips used by field linguists for elicitation of language from native speaker informants.

Dependency Parsing Sentence

Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression

no code implementations COLING 2016 Terra Blevins, Robert Kwiatkowski, Jamie MacBeth, Kathleen McKeown, Desmond Patton, Owen Rambow

Violence is a serious problems for cities like Chicago and has been exacerbated by the use of social media by gang-involved youths for taunting rival gangs.

Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine

no code implementations COLING 2016 Esk, Ramy er, Nizar Habash, Owen Rambow, Arfath Pasha

Arabic dialects present a special problem for natural language processing because there are few resources, they have no standard orthography, and have not been studied much.

Morphological Analysis

Detecting Level of Belief in Chinese and Spanish

no code implementations WS 2016 Juan Pablo Colomer, Keyu Lai, Owen Rambow

There has been extensive work on detecting the level of committed belief (also known as {``}factuality{''}) that an author is expressing towards the propositions in his or her utterances.

A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels

no code implementations LREC 2016 Vinodkumar Prabhakaran, Owen Rambow

In order to gain a deep understanding of how social context manifests in interactions, we need data that represents interactions from a large community of people over a long period of time, capturing different aspects of social context.

MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic

no code implementations LREC 2014 Arfath Pasha, Mohamed Al-Badrashiny, Mona Diab, Ahmed El Kholy, Esk, Ramy er, Nizar Habash, Manoj Pooleery, Owen Rambow, Ryan Roth

In this paper, we present MADAMIRA, a system for morphological analysis and disambiguation of Arabic that combines some of the best aspects of two previously commonly used systems for Arabic processing, MADA (Habash and Rambow, 2005; Habash et al., 2009; Habash et al., 2013) and AMIRA (Diab et al., 2007).

Chunking Lemmatization +5

LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual

no code implementations22 Sep 2013 Mona Diab, Nizar Habash, Owen Rambow, Ryan Roth

The Linguistic Data Consortium (LDC) has developed hundreds of data corpora for natural language processing (NLP) research.

Annotations for Power Relations on Email Threads

no code implementations LREC 2012 Vinodkumar Prabhakaran, Huzaifa Neralwala, Owen Rambow, Mona Diab

In this paper, we describe a multi-layer annotation scheme for social power relations that are recognizable from online written interactions.

The Dependency-Parsed FrameNet Corpus

no code implementations LREC 2012 Daniel Bauer, Hagen F{\"u}rstenau, Owen Rambow

When training semantic role labeling systems, the syntax of example sentences is of particular importance.

Dependency Parsing POS +2

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