Using foreign inclusion detection to improve parsing performance

Inclusions from other languages can be a significant source of errors for monolin-gual parsers. We show this for English in-clusions, which are sufficiently frequent to present a problem when parsing German. We describe an annotation-free approach for accurately detecting such inclusions, and de-velop two methods for interfacing this ap-proach with a state-of-the-art parser for Ger-man. An evaluation on the TIGER cor-pus shows that our inclusion entity model achieves a performance gain of 4.3 points in F-score over a baseline of no inclusion de-tection, and even outperforms a parser with access to gold standard part-of-speech tags.

Fighting For An End To Federal Ethanol Mandates May Be An Ideal Social Justice Cause For Students At U.S. Catholic Universities

For educators, the seven themes of Catholic Social Teaching (CST) form an excellent framework for bringing Catholic values and social awareness into the classroom as described by the United States Conference of Catholic Bishops (2005). Aside from the inherent benefit of being a renewable and domestically produced energy source, ethanol production and the supportive U.S. mandate have been shown to have some positive aspects. As educators, this issue represents an opportunity for teaching and action. In addition to introducing Catholic Social Teaching, this topic makes science and economics approachable. The idea that a gallon of ethanol does not appear out of thin air to help reduce our oil dependence is easy to teach

Dynamic Planning with a LLM

While Large Language Models (LLMs) can solve many NLP tasks in zero-shot settings, applications involving embodied agents remain problematic. In particular, complex plans that require multi-step reasoning become difficult and too costly as the context window grows. Planning requires understanding the likely effects of one's actions and identifying whether the current environment satisfies the goal state. While symbolic planners find optimal solutions quickly, they require a complete and accurate representation of the planning problem, severely limiting their use in practical scenarios. In contrast, modern LLMs cope with noisy observations and high levels of uncertainty when reasoning about a task. Our work presents LLM Dynamic Planner (LLM-DP): a neuro-symbolic framework where an LLM works hand-in-hand with a traditional planner to solve an embodied task. Given action-descriptions, LLM-DP solves Alfworld faster and more efficiently than a naive LLM ReAct baseline

Star formation and ISM morphology in tidally induced spiral structures

Tidal encounters are believed to be one of the key drivers of galactic spiral structure in the Universe. Such spirals are expected to produce different morphological and kinematic features compared to density wave and dynamic spiral arms. In this work we present high resolution simulations of a tidal encounter of a small mass companion with a disc galaxy. Included are the effects of gas cooling and heating, star formation and stellar feedback. The structure of the perturbed disc differs greatly from the isolated galaxy, showing clear spiral features that act as sites of new star formation, and displaying interarm spurs. The two arms of the galaxy, the bridge and tail, appear to behave differently; with different star formation histories and structure. Specific attention is focused on offsets between gas and stellar spiral features which can be directly compared to observations. We find some offsets do exist between different media, with gaseous arms appearing mostly on the convex side of the stellar arms, though the exact locations appear highly time dependent. These results further highlight the differences between tidal spirals and other theories of arm structure.Comment: 17 pages, 19 colour figures, accepted for publication in MNRA

Schlussbericht : Torfreduzierte Bio-Anzuchtsubstrate für den produzierenden Gemüse- und Beerenanbau

Im Projektbericht werden die Resultate der Anbauversuche mit neuentwickelten torfreduzierten Bio-Anzuchtsubstraten für den produzierenden Gemüsebau zusammengefasst. Durchgeführt wurden Versuche mit Erdpresstöpfen (verschiedene Gemüse) und mit Topfkräutern. Der Torfanteil lässt sich dabei deutlich reduzieren

Ulcerative C2 neurocutaneous dysesthesia (trigeminal trophic syndrome in an alternative distribution)

Trigeminal trophic syndrome is an uncommon condition characterized by paresthesia, itch, and self-inflicted wounds following the trigeminal dermatome(s). Similar processes adhering to cervical nerve distributions have been reported, calling into question the specificity of trigeminal trophic syndrome for the trigeminal network. Herein, we report patient with trigeminal trophic syndrome adhering to the C2 dermatome, a previously unreported distribution

From Open Content Repositories to Open Sensemaking Communities

The Open Content movement is concerned with enabling students and educators to access material, in order to then learn from it, and reuse it either in one’s studies or one’s own courses. The core efforts to date has focused on enabling access, e.g. building the organizational/political will to release and license content, and in developing open infrastructures for educators to then publish and reassemble it. The key challenge in the next phase of the open content movement is to improve the support for prospective students to engage with and learn from the material, and with each other though peer learning support, in the absence of formally imposed study timetables and assessment deadlines. This paper reports on tools for e-learning and collaborative sensemaking developed at the UK Open University which are now being considered as candidates for open content learning support