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Related papers: Treebanking User-Generated Content: a UD Based Ove…

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In this paper we present a sample treebank for Old English based on the UD Cairo sentences, collected and annotated as part of a classroom curriculum in Historical Linguistics. To collect the data, a sample of 20 sentences illustrating a…

Computation and Language · Computer Science 2025-06-13 Lauren Levine , Junghyun Min , Amir Zeldes

User-generated content (UGC) is characterised by frequent use of non-standard language, from spelling errors to expressive choices such as slang, character repetitions, and emojis. This makes evaluating UGC translation challenging: what…

Computation and Language · Computer Science 2026-05-13 Lydia Nishimwe , Benoît Sagot , Rachel Bawden

The prevailing practice in the academia is to evaluate the model performance on in-domain evaluation data typically set aside from the training corpus. However, in many real world applications the data on which the model is applied may very…

Computation and Language · Computer Science 2022-04-25 Jenna Kanerva , Filip Ginter

Universal Dependencies (UD) offer a uniform cross-lingual syntactic representation, with the aim of advancing multilingual applications. Recent work shows that semantic parsing can be accomplished by transforming syntactic dependencies to…

Computation and Language · Computer Science 2017-08-30 Siva Reddy , Oscar Täckström , Slav Petrov , Mark Steedman , Mirella Lapata

Treebank translation is a promising method for cross-lingual transfer of syntactic dependency knowledge. The basic idea is to map dependency arcs from a source treebank to its target translation according to word alignments. This method,…

Computation and Language · Computer Science 2019-09-06 Zhang Meishan , Zhang Yue , Fu Guohong

Social media and user-generated content (UGC) are increasingly important features of journalistic work in a number of different ways. However, their use presents major challenges, not least because information posted on social media is not…

The value of quality treebanks is steadily increasing due to the crucial role they play in the development of natural language processing tools. The creation of such treebanks is enormously labor-intensive and time-consuming. Especially…

Computation and Language · Computer Science 2024-02-06 Salih Furkan Akkurt , Büşra Marşan , Susan Uskudarli

In this paper, current dependencybased treebanks are introduced and analyzed. The methods used for building the resources, the annotation schemes applied, and the tools used (such as POS taggers, parsers and annotation software) are…

Computation and Language · Computer Science 2007-05-23 Tuomo Kakkonen

Existing conversational systems are mostly agent-centric, which assumes the user utterances would closely follow the system ontology (for NLU or dialogue state tracking). However, in real-world scenarios, it is highly desirable that the…

Computation and Language · Computer Science 2021-09-10 Zhiyu Chen , Honglei Liu , Hu Xu , Seungwhan Moon , Hao Zhou , Bing Liu

Document grounded generation is the task of using the information provided in a document to improve text generation. This work focuses on two different document grounded generation tasks: Wikipedia Update Generation task and Dialogue…

Computation and Language · Computer Science 2021-04-27 Shrimai Prabhumoye , Kazuma Hashimoto , Yingbo Zhou , Alan W Black , Ruslan Salakhutdinov

Automatic dependency parsing of Thai sentences has been underexplored, as evidenced by the lack of large Thai dependency treebanks with complete dependency structures and the lack of a published systematic evaluation of state-of-the-art…

Understanding the impact of digital platforms on user behavior presents foundational challenges, including issues related to polarization, misinformation dynamics, and variation in news consumption. Comparative analyses across platforms and…

The proliferation of Large Language Model (LLM)-based Graphical User Interface (GUI) agents in web browsing scenarios present complex unintended consequences (UCs). This paper characterizes three UCs from three perspectives: phenomena,…

Human-Computer Interaction · Computer Science 2025-05-19 Shuning Zhang , Jingruo Chen , Zhiqi Gao , Jiajing Gao , Xin Yi , Hewu Li

In this study, we aim to offer linguistically motivated solutions to resolve the issues of the lack of representation of null morphemes, highly productive derivational processes, and syncretic morphemes of Turkish in the BOUN Treebank…

Web applications are increasingly showing recommended users from social media along with some descriptions, an attempt to show relevancy - why they are being shown. For example, Twitter search for a topical keyword shows expert twitterers…

Social and Information Networks · Computer Science 2012-12-11 Hemant Purohit , Alex Dow , Omar Alonso , Lei Duan , Kevin Haas

There is increasing interest to work with user generated content in social media, especially textual posts over time. Currently there is no consistent way of segmenting user posts into timelines in a meaningful way that improves the quality…

Computation and Language · Computer Science 2023-03-13 Anthony Hills , Adam Tsakalidis , Federico Nanni , Ioannis Zachos , Maria Liakata

Personalized natural language generation for explainable recommendations plays a key role in justifying why a recommendation might match a user's interests. Existing models usually control the generation process by aspect planning. While…

Artificial Intelligence · Computer Science 2023-06-06 Jiacheng Li , Zhankui He , Jingbo Shang , Julian McAuley

User-generated item lists are popular on many platforms. Examples include video-based playlists on YouTube, image-based lists (or"boards") on Pinterest, book-based lists on Goodreads, and answer-based lists on question-answer forums like…

Information Retrieval · Computer Science 2020-01-01 Yun He , Yin Zhang , Weiwen Liu , James Caverlee

With over 500 million tweets posted per day, in Twitter, it is difficult for Twitter users to discover interesting content from the deluge of uninteresting posts. In this work, we present a novel, explainable, topical recommendation system,…

Information Retrieval · Computer Science 2022-12-29 Parantapa Bhattacharya , Saptarshi Ghosh , Muhammad Bilal Zafar , Soumya K. Ghosh , Niloy Ganguly

Languages may encode similar meanings using different sentence structures. This makes it a challenge to provide a single set of formal rules that can derive meanings from sentences in many languages at once. To overcome the challenge, we…

Computation and Language · Computer Science 2024-03-05 Laurestine Bradford , Timothy John O'Donnell , Siva Reddy