Search Results for author: Samira Shaikh

Found 37 papers, 7 papers with code

A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective

no code implementations10 Feb 2022 Erfan Al-Hossami, Samira Shaikh

Then, we overview the field of conversational assistants and their applications in software engineering and education.

Can We Generate Shellcodes via Natural Language? An Empirical Study

1 code implementation8 Feb 2022 Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic, Samira Shaikh

Writing software exploits is an important practice for offensive security analysts to investigate and prevent attacks.

Machine Translation Translation

A Case Study of Analysis of Construals in Language on Social Media Surrounding a Crisis Event

no code implementations ACL 2021 Lolo Aboufoul, Khyati Mahajan, Tiffany Gallicano, Sara Levens, Samira Shaikh

The events that took place at the Unite the Right rally held in Charlottesville, Virginia on August 11-12, 2017 caused intense reaction on social media from users across the political spectrum.

Topic Models

Shellcode_IA32: A Dataset for Automatic Shellcode Generation

1 code implementation ACL (NLP4Prog) 2021 Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic, Samira Shaikh

We take the first step to address the task of automatically generating shellcodes, i. e., small pieces of code used as a payload in the exploitation of a software vulnerability, starting from natural language comments.

Code Generation Machine Translation +1

TeamUNCC@LT-EDI-EACL2021: Hope Speech Detection using Transfer Learning with Transformers

1 code implementation19 Apr 2021 Khyati Mahajan, Erfan Al-Hossami, Samira Shaikh

We describe our approach to fine-tuning RoBERTa for Hope Speech detection in English and our approach to fine-tuning XLM-RoBERTa for Hope Speech detection in Tamil and Malayalam, two low resource Indic languages.

Hope Speech Detection for English Hope Speech Detection for Malayalam +3

Understanding the Impact of Experiment Design for Evaluating Dialogue System Output

no code implementations WS 2020 Sashank Santhanam, Samira Shaikh

Evaluation of output from natural language generation (NLG) systems is typically conducted via crowdsourced human judgments.

Text Generation

Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation

no code implementations LREC 2020 Archna Bhatia, Adam Dalton, Brodie Mather, Sashank Santhanam, Samira Shaikh, Alan Zemel, Tomek Strzalkowski, Bonnie J. Dorr

We present a paradigm for extensible lexicon development based on Lexical Conceptual Structure to support social engineering detection and response generation.

Response Generation

Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge

no code implementations25 Feb 2020 Bonnie J. Dorr, Archna Bhatia, Adam Dalton, Brodie Mather, Bryanna Hebenstreit, Sashank Santhanam, Zhuo Cheng, Samira Shaikh, Alan Zemel, Tomek Strzalkowski

Social engineers attempt to manipulate users into undertaking actions such as downloading malware by clicking links or providing access to money or sensitive information.

Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents

no code implementations18 Feb 2020 Sashank Santhanam, Alireza Karduni, Samira Shaikh

To investigate, we conducted a between-subjects study with 77 crowdsourced workers to understand the role of cognitive biases, specifically anchoring bias, when humans are asked to evaluate the output of conversational agents.

Decision Making Language Modelling

Natural Language Generation Using Reinforcement Learning with External Rewards

1 code implementation26 Nov 2019 Vidhushini Srinivasan, Sashank Santhanam, Samira Shaikh

We propose an approach towards natural language generation using a bidirectional encoder-decoder which incorporates external rewards through reinforcement learning (RL).

reinforcement-learning Text Generation

JUSTDeep at NLP4IF 2019 Task 1: Propaganda Detection using Ensemble Deep Learning Models

no code implementations WS 2019 Hani Al-Omari, Malak Abdullah, Ola AlTiti, Samira Shaikh

Defining {``}fake news{''} is not well established yet, however, it can be categorized under several labels: false, biased, or framed to mislead the readers that are characterized as propaganda.

Propaganda detection

Towards Best Experiment Design for Evaluating Dialogue System Output

1 code implementation WS 2019 Sashank Santhanam, Samira Shaikh

To overcome the limitations of automated metrics (e. g. BLEU, METEOR) for evaluating dialogue systems, researchers typically use human judgments to provide convergent evidence.

Dialogue Evaluation

Emoji Usage Across Platforms: A Case Study for the Charlottesville Event

no code implementations WS 2019 Khyati Mahajan, Samira Shaikh

We study emoji usage patterns across two social media platforms, one of them considered a fringe community called Gab, and the other Twitter.

I Stand With You: Using Emojis to Study Solidarity in Crisis Events

1 code implementation19 Jul 2019 Sashank Santhanam, Vidhushini Srinivasan, Shaina Glass, Samira Shaikh

We study how emojis are used to express solidarity in social media in the context of two major crisis events - a natural disaster, Hurricane Irma in 2017 and terrorist attacks that occurred on November 2015 in Paris.

A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions

no code implementations2 Jun 2019 Sashank Santhanam, Samira Shaikh

We provide a comprehensive review towards building open domain dialogue systems, an important application of natural language generation.

Text Generation

ANEW+: Automatic Expansion and Validation of Affective Norms of Words Lexicons in Multiple Languages

no code implementations LREC 2016 Samira Shaikh, Kit Cho, Tomek Strzalkowski, Laurie Feldman, John Lien, Ting Liu, George Aaron Broadwell

The main contributions of this work are: 1) A general method for expansion and creation of lexicons with scores of words on psychological constructs such as valence, arousal or dominance; and 2) a procedure for ensuring validity of the newly constructed resources.

The Validation of MRCPD Cross-language Expansions on Imageability Ratings

no code implementations LREC 2016 Ting Liu, Kit Cho, Tomek Strzalkowski, Samira Shaikh, Mehrdad Mirzaei

In this article, we present a method to validate a multi-lingual (English, Spanish, Russian, and Farsi) corpus on imageability ratings automatically expanded from MRCPD (Liu et al., 2014).

Automatic Expansion of the MRC Psycholinguistic Database Imageability Ratings

no code implementations LREC 2014 Ting Liu, Kit Cho, G. Aaron Broadwell, Samira Shaikh, Tomek Strzalkowski, John Lien, Sarah Taylor, Laurie Feldman, Boris Yamrom, Nick Webb, Umit Boz, Ignacio Cases, Ching-Sheng Lin

Unfortunately, word imageability ratings were collected for only a limited number of words: 9, 240 words in English, 6, 233 in Spanish; and are unavailable at all in the other two languages studied: Russian and Farsi.

Revealing Contentious Concepts Across Social Groups

no code implementations LREC 2012 Ching-Sheng Lin, Zumrut Akcam, Samira Shaikh, Sharon Small, Ken Stahl, Tomek Strzalkowski, Nick Webb

The hypothesis of this work is that there are communities or groups which can be characterized by a network of concepts and the corresponding valuations of those concepts that are agreed upon by the members of the community.

Extending the MPC corpus to Chinese and Urdu - A Multiparty Multi-Lingual Chat Corpus for Modeling Social Phenomena in Language

no code implementations LREC 2012 Ting Liu, Samira Shaikh, Tomek Strzalkowski, Aaron Broadwell, Jennifer Stromer-Galley, Sarah Taylor, Umit Boz, Xiaoai Ren, Jingsi Wu

In this paper, we report our efforts in building a multi-lingual multi-party online chat corpus in order to develop a firm understanding in a set of social constructs such as agenda control, influence, and leadership as well as to computationally model such constructs in online interactions.

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